THE EFFECTS OF NOMINAL MAXIMUM AGGREGATE SIZE ON THE PROPERTIES OF HOT MIX ASPHALT USING GYRATORY COMPACTOR ELIZABETH CHONG EU MEE A project report submitted in partial fulfillment of the requirements for the award of the degree of Master of Engineering (Civil – Transportation and Highway) Faculty of Civil Engineering Universiti Teknologi Malaysia NOVEMBER 2006 iii Dedicated to... My beloved dad and mum, Paul Chong and Agatha Lee, who has so much faith in me. Love you always. GIFT members of past, present, and future. Life has been wonderfully coloured by you. iv ACKNOWLDGEMENTS Praise be to Almighty God for the graces and abundant blessings to complete this report. Thy will be done on earth, as it is in Heaven. In doing this report, I had crossed path with many individuals in whom I am indebted to. I wish to express my gratitude to my supervisor, Dr. Mohd. Rosli bin Hainin, for his guidance and constructive critics, as I pen down my thoughts and words for this report. To my co-supervisor, Tn. Hj. Che Ros bin Ismail, for believing and trusting in me throughout thick and thin moments. Both of them are my mentor and friend. To my parents, I owe them a life-long gratitude for nurturing me with love, care, and support to be who I am today. Not forgetting my second family, I also wish to record a word of thanks to the family of GIFT and CMT. Thanks for all of your prayers, moral support and jokes to lighten up my day. Appreciation also goes to Mr. Suhaimi, Mr Abdul Rahman, Mr. Mohd. Adin, and Mr. Azman of the Transportation and Highway Laboratory, UTM, for rendering their help, both time and energy. A special word of thanks is also reserved for my laboratory partners, Norliza, Zanariah, Naeem, and Mukhtar for their help. Last, but not the least, I would like to acknowledge each and every person who have contributed to the success of this report, whether directly or indirectly. May God bless you in your life journey. v ABSTRACT The introduction of Superpave mix design in 1993 in the United States has categorized mixes based on the nominal maximum aggregate size (NMAS). The centerpiece of the mix design is the Superpave Gyratory Compactor (SGC). Properties of hot mix asphalt (HMA) have always been associated with pavement deformations. This study looks into the effects of NMAS on the properties of Malaysian HMA mixtures, which includes optimum bitumen content (OBC), bulk specific gravity (Gmb), theoretical maximum density (TMD), water absorption (WA), voids in mineral aggregate (VMA), voids filled with bitumen (VFB), and dust to binder ratio (D:B). Thus, a better understanding of the properties can reduce the pavement deformations. A total of four asphaltic concrete mix designs with different NMAS were prepared in accordance with the JKR Specification, namely AC10, AC14, AC20, and AC28. Specimens of each mix design with varying bitumen content were compacted to 75 and 100 gyrations using SGC to obtain 4±1% air voids. It was observed that as the NMAS increased, the OBC and VMA decreased. The Gmb, TMD, WA, and D:B showed opposite trend of the earlier properties. Ttests indicated that all properties except VMA were affected by NMAS. VMA for AC20 failed the minimum requirement initially but when calculated using the average asphalt film thickness method, it was acceptable. Different compaction efforts showed the same pattern on the properties except VFB while t-tests revealed that OBC, TMD, VMA, and D:B were significantly affected. Investigation also showed that AC20 is the best mix from the economic and durability point of views. vi ABSTRAK Pengenalan rekabentuk campuran Superpave pada tahun 1993 di Amerika Syarikat telah mengkategorikan campuran berdasarkan saiz nominal maksimum agregat (NMAS). Hasil utama rekabentuk campuran ini ialah Pemadat Legaran Superpave (SGC). Sifat-sifat campuran panas berasfalt (HMA) selalu dikaitkan dengan ubahbentuk turapan. Kajian ini melihat kepada kesan NMAS terhadap sifatsifat campuran HMA Malaysia yang merangkumi kandungan bitumen optimum (OBC), graviti tentu pukal (Gmb), ketumpatan maksimum teori (TMD), penyerapan air (WA), lompang dalam agregat mineral (VMA), lompang terisi bitumen (VFB), dan nisbah debu kepada pengikat (D:B). Oleh itu, pemahaman yang lebih lanjut mengenai sifat-sifat ini dapat mengurangkan ubahbentukturapan. Sejumlah empat rekabentuk campuran konkrit berasfalt dengan NMAS yang berbeza telah disediakan mengikut Spesifikasi JKR, iaitu AC10, AC14, AC20, dan AC28. Spesimen daripada setiap rekabentuk campuran dengan kandungan bitumen yang berbeza telah dipadatkan ke 75 dan 100 legaran dengan menggunakan SGC untuk mendapatkan 4±1% kandungan udara. Apabila NMAS meningkat, dapat diperhatikan bahawa OBC dan VMA menurun. Gmb, TMD, WA, dan D:B menunjukkan corak yang bertentangan dengan sifat-sifat terdahulu. Keputusan ujian-t menunjukkan bahawa kesemua sifat dipengaruhi oleh NMAS kecula VMA. VMA untuk AC20 pada mulanya gagal untuk memenuhi keperluan minimum tetapi apabila dihitung dengan menggunakan kaedah ketebalan purata selaput asfalt, ianya dapat diterimapakai. Usaha pemadatan yang berbeza menunjukkan corak yang sama untuk kesemua sifat kecuali VFB manakala ujian-t menunjukkan bahawa OBC, TMD, VMA, dan D:B amat dipengaruhi. Kajian menunjukkan AC20 adalah campuran yang terbaik dari segi ekonomi dan ketahanlasakan. vii TABLE OF CONTENTS CHAPTER TITLE PAGE DECLARATION OF THE STATUS OF THESIS SUPERVISOR’S DECLARATION TITLE PAGE 1 DECLARATION ii DEDICATION iii ACKNOWLEDGEMENT iv ABSTRACT v ABSTRAK vi TABLE OF CONTENTS vii LIST OF TABLES xi LIST OF FIGURES xii LIST OF ABBREVIATIONS xiv LIST OF APPENDICES xvi INTRODUCTION 1 1.1 Preamble 1 1.2 Problem Statement 3 1.3 Aim 5 1.4 Objectives 5 1.5 Scope of the Study 5 1.6 Importance of the Study 6 1.7 Summary 7 viii 2 3 LITERATURE REVIEW 8 2.1 Introduction 8 2.2 Superior Performing Asphalt Pavement 9 2.2.1 Background of Superpave 9 2.2.2 Superpave Mix Design 10 2.2.3 Superpave Gyratory Compactor 12 2.2.4 Superpave in Malaysian Scenario 16 2.3 Comparison of Superpave and Malaysian Mixes 19 2.4 Measurements of Compaction 21 2.4.1 26 Voids in Mineral Aggregates 2.5 Relation of NMAS to Pavement Deformations 27 2.6 Field Performance 28 2.7 Summary 29 METHODOLOGY 31 3.1 Introduction 31 3.2 Operational Framework 32 3.3 Preparation of Materials for Mix 34 3.3.1 Aggregates 34 3.3.2 Bituminous Binder 35 3.3.3 35 3.4 Mineral Filler Sieve Analysis 35 3.4.1 Dry Sieve Analysis 35 3.4.2 Wash Sieve Analysis 36 3.5 Aggregate Blending 37 3.6 Determination of Specific Gravity for Aggregate 38 3.6.1 Coarse Aggregate 38 3.6.2 Fine Aggregate 39 Superpave Mix Design 40 3.7.1 41 3.7 3.8 Procedures 3.7.2 Apparatus 41 3.7.3 42 Specimen Preparation Measurement of Density 43 3.8.1 43 Bulk Specific Gravity ix 3.8.2 4 Theoretical Maximum Density 44 3.9 Determination of Optimum Bitumen Content 46 3.10 Determination of Other Properties 46 3.11 Summary 47 RESULTS AND DISCUSSIONS 48 4.1 Introduction 48 4.2 Results of Tests Conducted on the Materials 48 4.2.1 Sieve Analyses 49 4.2.2 Determination of Bulk Specific Gravity of Aggregate 49 4.2.2.1 Specific Gravity of Coarse Aggregate 49 4.2.2.2 Specific Gravity of Fine Aggregate 50 4.2.2.3 Specific Gravity of Mineral Filler 50 4.2.2.4 Bulk Specific Gravity of Aggregate 50 4.2.2.5 Specific Gravity of Bitumen 5 51 4.3 Aggregate Gradation 51 4.4 Results and Discussions of the Properties 53 4.4.1 Optimum Bitumen Content 54 4.4.2 Bulk Specific Gravity 57 4.4.3 Theoretical Maximum Density 58 4.4.4 Water Absorption 59 4.4.5 Voids in Mineral Aggregate 60 4.4.6 Voids Filled with Bitumen 61 4.4.7 Dust to Binder Ratio 62 4.5 Statistical Analysis 62 4.6 Summary 63 CONCLUSIONS AND RECOMMENDATIONS 65 5.1 Conclusions 65 5.2 Recommendations 66 x REFERENCES Appendices A – I 67 72 - 82 xi LIST OF TABLES TABLE NO. TITLE PAGE 2.1 Main factors evaluated n ruggedness experiment 15 2.2 Examples of design requirements for asphalt wearing courses 18 2.3 20 Difference in Superpave and Malaysian sieve sizes 2.4 25 Density requirements 2.5 Comparison of observed critical VMA values with Superpave requirements 3.1 26 37 Gradation limits for asphaltic concrete 3.2 42 Superpave gyratory compactive effort 3.3 Minimum sample size requriement for theoretical maximum density 3.4 45 46 Design bitumen content 4.1 51 Values of bulk specific gravity of aggregate 4.2 Summary of results from samples compacted to 4±1% air voids 4.3 54 63 Summary of statistical analysis, t-tests xii LIST OF FIGURES FIGURE NO. TITLE PAGE 2.1 External and internal gyration angles versus Gmb 14 2.2 Mixture compaction characteristics with varation in angle 15 2.3 Aggregate gradation for projects in Brunei, Indonesia, Malaysia, and Singapore 18 2.4 Volumetric diagram 21 2.5 Relatioship of air voids and rut depth in Arkansas 28 3.1 Flow diagram for laboratory analysis process 33 4.1 Gradation limits and design curve for AC10 52 4.2 Gradation limits and design curve for AC14 52 4.3 Gradation limits and design curve for AC20 53 4.4 Gradation limits and design curve for AC28 53 4.5 Determination of optimum bitumen content for 75 gyrations 55 4.6 55 4.7 Determination of optimum bitumen content for 100 gyrations 4.8 Optimum bitumen content versus nominal maximum aggregate size 57 Bulk specific gravity versus nominal maximum aggregate size 58 56 4.9 4.10 Theoretical maximum density versus nominal maximum aggregate size 4.11 Water absorption versus nominal maximum aggregate size 59 60 xiii 4.12 4.13 Voids in mineral aggregate versus nominal maximum aggregate size Voids filled with bitumen versus nominal maximum aggregate size Dust to binder ration versus nominal maximum aggregate size 61 62 xiv LIST OF ABBREVIATIONS AASHTO - American Association of State Highway and Transport Officials AC10 - asphaltic concretewith NMAS of 10mm AC14 - asphaltic concretewith NMAS of 14mm AC20 - asphaltic concretewith NMAS of 20mm AC28 - asphaltic concretewith NMAS of 28mm ASTM - American Society for Testing and Materials D:B - dust to binder ratio ESAL - Equivalent Standard Axle Load Gmb - bulk specific gravity GTM - Gyratory Testing Machine HMA - hot mix asphalt JKR - Jabatan Kerja Raya (Public Works Department) KLIA - Kuala Lumpur International Airport MDL - maximum density line NAPA - National Asphalt Paving Association Ndes - design number of gyrations Ninitial - initial number of gyrations NMAS - Nominal Maximum Aggregate Size Nmaximum - maximum number of gyrations OBC - optimum bitumen content PG - Performance Grade Ps - percent by weight of the total amount of aggregate in the mix SGaggblend - bulk specific gravity of the combined aggregate SGC - Superpave Gyratory Compactor SGcoarse - bulk specific gravity of coarse aggregate xv SGfiller - bulk specific gravity of mineral filler SGfine - bulk specific gravity of fine aggregate SHRP - Strategic Highway Research Program Superpave - Superior Performing Asphalt Pavement TMD - theoretical maximum density VFB - voids filled with bitumen VMA - voids in mineral aggregate VTM - voids in total mix WA - water absorption xvi LIST OF APPENDICES APPENDIX A Wash sieve analysis B Specific gravity of coarse aggregate 73 C Specific gravity of fine aggregate 74 D Aggregate gradation 75 E Results of theoretical maximum density 76 F1 Results of properties – 75 Gyrations 77 F2 Results of properties – 100 Gyrations 78 G Sample calculation of surface area 79 H Sample calculation of VMA based on average asphalt film thickness method 80 Photos of laboratory works 81 I TITLE PAGE 72 CHAPTER 1 INTRODUCTION 1.1 Preamble With the rapid growth in development and population, Malaysians are certainly heading towards a better lifestyle. The Ninth Malaysia Plan, with a bulk of the budget going to the development of infrastructure, sees a need to accommodate the basic necessities of the people in Malaysia, and road construction is one of them. One of the basic requirements for a pavement to perform to its design life is the ability to withstand intense loading from repetitive traffic. The pavement should have sufficient thickness to deal with the stresses at the surface and at the same time, to protect the subgrade from damage. Therefore, a vital component in the process of constructing an asphalt pavement is the design of the asphalt mixture that will be used for the pavement. Beside ESALs loading, these mix designs take into account many other factors such as environmental conditions, desired surface texture, and the mix materials. In 1987, the Strategic Highway Research Program (SHRP) was approved and established by the United States Congress as a five-year $150 million research program to improve the performance and durability of roads and to make those roads safer for both motorists and highway workers (Huang, 2004). Research on asphalt binder mixture specifications led to a new system for design of hot mix asphalt based upon mechanistic concepts. $50 million of the SHRP research funds were used for 2 this purpose and it developed the laboratory mixture design method known as Superpave, an acronym for Superior Performing Asphalt Pavements (Lavin, 2003; Huang, 2004). Superpave directly correlates laboratory methods with pavement performance instead of relating basic physical properties and observed performance as it is with Marshall mix design method. Superpave mix design involves three major components: the asphalt binder specification, the mixture design and analysis system. There are three levels of testing and analysis but only level one, which incorporate material selection and volumetric proportioning, are currently being practiced routinely by designers. Level two and three have additional testing machine to check the following pavement distress, namely low temperature cracking, fatigue cracking, and permanent deformation. The key component of Superpave mix design is the Superpave Gyratory Compactor (SGC). SGC emulates the compaction done at site with its kneading action of compaction in the laboratory provided by the gyration angle. Specifications instructed that SGC are to be used with 150mm diameter mould. However, SGC is also capable of compacting smaller specimens using 100mm diameter mould but with certain limitations. With the introduction of Superpave mix design in the United States back in 1993, it was recommended that the nominal maximum aggregate size (NMAS) to be used in categorizing the mixes. The definition of NMAS is the largest sieve size that retains not more than 10 percent of the aggregate particle in any mix designs. The other designation for classifying mix is by the maximum size which is defined as the smallest sieve size through which 100 percent of the aggregate sample particles pass. Superpave specifications give advantages and disadvantages. Superpave is performance-based and it uses Performance Grading System (PG) for its asphalt binder grading system. Through this way, it adopts both the project temperature and traffic criteria. Even though Superpave mixtures have a high coarse aggregate content and are more difficult to work with, experience has shown that good smoothness can be obtained. Superpave mixtures tend to provide good surface 3 drainage and result in less spray (NCAT, 1997). This results in good surface friction properties. The process of compaction by SGC is quieter as compared to Marshall hammer. This is due to the kneading action of SGC. The Superpave system can be adapted to suit the requirements of any country or region. The specification needs to include only those performance grades and requirements that are relevant to the climate and traffic prevailing in a specific region or country. Furthermore, this design method is not just restricted to high traffic freeways, but it is also applicable for low volume roads and low volume parking facilities (Cross and Lee, 2000). The disadvantages encountered among others are the testing equipment is more complex and costly. It requires substantial capital investment and firm commitment to maintain the equipment in proper working conditions. In the USA, a complete set of Superpave bituminous binder testing equipment – including bending beam and direct tension apparatus – costs about US $100,000; the two servohydraulic Superpave mixture testing systems costs approximately US $400,000 (Tappeiner, 1996). Superpave made its debut in Malaysia through the Kuala Lumpur International Airport (KLIA) project (Tappeiner, 1996; Harun, 1996). Juggling between the short period of time to complete the project and the complexity of adopting the Superpave’s advanced mix design and quality control system, only the Superpave bituminous binder specifications have been included with the design and evaluation procedures similar to those described in NCHRP Report 338: AsphaltAggregate Mixture Analysis System (AAMAS) (after Tappeiner, 1996). 1.2 Problem Statement Typically, most specifications use NMAS in its mix design. Superpave and Public Works Department (JKR) gradation limits use NMAS, even though both mix designs specified a slightly different NMAS. The design of each mix with variation in the gradation has an effect on the properties of the mix. 4 In a few studies conducted, NMAS is found to be linked to permeability and rutting in a pavement (Mallick et al., 2003; Kandhal, 1990; Cooley Jr., Prowell, and Brown, 2002). Permeability is related to the interconnected voids that allow the water to infiltrate into the pavement. Through the research of Mallick et al. (2003), it was shown that voids in mineral aggregate (VMA) has a significant effect on inplace permeability of pavements and coarse-graded Superpave mixes in which with the increment of NMAS, the permeability also increases. Rutting is normally associated with the extra compaction due to traffic loading. Lavin (2003) attributed rutting to the fact of low design air voids, excessive asphalt binder, excessive sand or mineral filler, rounded aggregate particles, and low VMA. Each mix design has its own optimum bitumen content. The bitumen content at a fixed percent of air voids varies according to the NMAS and gradation. The bitumen content plays a significant role in calculating VMA and voids filled with bitumen (VFB). However, Kandhal, Foo, and Mallick (1998) argued that VMA should be calculated based on surface area and to have an average asphalt thickness coated on the aggregates. Other problems related to the NMAS are workability and segregation. Smaller NMAS tends to have good workability but is more unstable while larger NMAS will cause segregation to happen. It is also interesting to note that larger aggregates are being use to minimise rutting (Kandhal, 1990). The few phenomena described in the paragraphs above can all lead to further deterioration of a pavement. It is important to get to the root cause of it to overcome these defects. Therefore, this study that looked into the fundamental properties of Malaysian hot mix asphalt (HMA) mixes is essential to provide the knowledge and understanding of the consequences. 5 1.3 Aim This study was aimed to probe the effects of nominal maximum aggregate size on the properties of hot mix asphalt compacted with Superpave Gyratory Compactor by using the Malaysian mix design. 1.4 Objectives The primary goal of this study was to evaluate the properties of Malaysian HMA mixes prepared with different NMAS. The properties evaluated include: (i) optimum bitumen content at four percent air voids (OBC); (ii) bulk specific gravity of lab compacted mix, (Gmb); (iii) theoretical maximum density (TMD) using Rice method; (iv) water absorption (WA); (v) voids in mineral aggregates (VMA); (vi) voids filled with bitumen (VFB); and (vii) dust to binder ratio (D:B). This study also looked into the properties of the mixes when compacted with different compactive effort. All mix designs were compacted to 75 and 100 gyrations. 1.5 Scope of the Study In order to investigate the effects of NMAS on the properties of HMA, four types of mix designs of asphaltic concrete (AC) were prepared in accordance to the JKR Specification (SPJ rev2005). They were AC 10, AC 14, AC 20, and AC 28. All these mix designs were compacted at two different levels of compaction, i.e. 75 and 100 gyrations, simulating the Malaysian traffic loading condition. 6 Based on the National Asphalt Paving Association (NAPA) method, the optimum bitumen content were determined to obtain a 4% air voids for all the mixes, regardless of the layer it serves. A minimum of three bitumen content were used for each mix design, starting with median, and 0.5% before and after the median. Verification samples were done for all the OBC. Loose samples of two for each mix design were prepared to get the TMD values. Samples were analysed based on the properties and were subsequently correlated. 1.6 Importance of the Study The relationship between basic fundamental properties as mentioned in Section 1.4 is very much related to the behaviour of a pavement. It is from these properties that one may know the later consequences of the pavement whether it is under-designed or over-designed. A lot of researchers have used these properties to look into the deformation or on-site behaviour of a pavement (Brown, 1990; Kandhal, Foo, and Mallick, 1998; Peterson, Mahboub, and Anderson, 2004). The JKR Specification (SPJ rev2005) differs a little bit from the Superpave gradation in terms of the NMAS used. The SPJ rev2005 uses NMAS of 10, 14, 20, and 28mm while Superpave specifies NMAS of 9.5, 12.5, 19, and 25mm. This study will be able to help the researchers and engineers understand the properties of the Malaysian mix when they are using different NMAS in their projects. As Malaysian Government has allocated the budget to have a good infrastructure, it is only proper that a study is conducted to look into the basic properties that are related to the pavement durability. 7 1.7 Summary This chapter gave an overview of the study that was done. It introduced the Superpave mix design, which was the outcome of the Strategic Highway Research Program, the advantages and disadvantages of Superpave, and Superpave’s debut in Malaysia. The problem that led to this study was also discussed, in which the causes of pavement deteriorations such as permeability, rutting and segregation were highlighted. Relating these deteriorations to basic properties, it will be good to know and understand the mixes used in Malaysia with different NMAS. Therefore, this study was aimed to observe the effects of NMAS on the HMA properties that were compacted with the SGC. CHAPTER 2 LITERATURE REVIEW 2.1 Introduction Hot mix asphalt (HMA) is the most popular mix around the world. It combined aggregates and asphalt binder under a dry and heated condition to get a uniform mix. Generally, HMA is being used to categorize any asphalt mixture that is mixed while hot. Both the asphalt binder and aggregate are heated to get a fluidity to coat the aggregate and to dry the aggregate, respectively. Different construction project will have different kind of mixture to suit to the site conditions. There are many methods of designing a HMA mix, which among them are the conventional method of Hveem and Marshall, and the newest method called Superpave. In this chapter, the discussion is based on Superpave mix design pertaining to the background, mix design, gyratory compactor, Superpave in Malaysia, comparison of Superpave and Malaysian mixes, the measurements of compaction, voids in mineral aggregate, relation of NMAS to pavement deformations, and field performance. 9 2.2 Superior Performing Asphalt Pavement Superior Performing Asphalt Pavement, better known as Superpave is a principal product of Strategic Highway Research Program (SHRP). SHRP desired a long lasting pavement that requires less maintenance, provide a smooth ride, and is a good value for taxpayers money. The research ended in 1993, giving several new elements in the system: asphalt binder being graded by performance grade (PG), consensus properties of aggregate, new mix design procedure, and mixture analysis procedure (Roberts et al., 1996). Currently, the Superpave mix design system has become the choice for the majority of transportation agencies in the United States for HMA mix design. The key equipment in Superpave method is the Superpave Gyratory Compactor (SGC). Barely 10 years of establishment, there are over 2000 SGCs are in use in the United States for the design and field management of asphalt mixtures (Harman et al., 2002). This shows that the SGC is a popular choice in the United States. 2.2.1 Background of Superpave Throughout the evolution of asphalt mix design; several different types of laboratory compaction devices have been developed to produce specimens for volumetric and/or physical characterization (Harman et al., 2002). World War II triggered the rapid advancement of asphalt mix design and materials evaluation. Bruce Marshall and Francis Hveem developed mix design methods and by late 1950s, these methods were largely used. Marshall mix design method adopted the impact type of compaction while Hveem mix design method uses tampering blow and kneading compactor (Roberts et al., 1996). The gyratory concept is attributed to Phillipi, Raines, and Love of the Texas Highway Department (after Harman et al., 2002), which was a manual unit of gyratory pressing. In the 1950’s, the concept was followed by John L. Macrae, with 10 the U.S. Corps of Engineers, developing a device called “gyratory kneading compactor”, which was later known as the Gyratory Testing Machine (GTM) in 1993. Another important contribution to the improvement of gyratory concept is through the Laboratoroire Central des Ponts et Chausées (LCPC) in France, which has a fixed external, external mould wall angle of one degree with a compaction pressure to 600kPa. In 1984, the Transportation Research Board’s (TRB) publication of Special Report 202, America’s Highways: Accelerating the Search for Innovation mentioned that despite being the dominant position among highway materials, research into asphalt cement or binder had been long neglected and recommended a research program to “develop and improve asphalt binders” (after TRB Superpave Committee, 2005). In 1987, the United States Congress funded the SHRP and the effort was conducted from 1987 to 1993. Initially, SHRP focused on asphalt binder research. In 1990, SHRP expanded efforts to include research in the area of asphalt mixtures – building on the work of National Cooperative Highway Research Program (NCHRP) Report 338: Asphalt-Aggregate Mixture Analysis System (AAMAS) and the work of LCPC in France (after Harman et al., 2002). Research for SHRP was performed by independent contractors, largely universities, and paid for by a set-aside of funds appropriated annually from the US Federal Government budget for distribution to the states in support of the nation’s primary surface transportation system. Although the competition for funding is strong at all levels of government, the State Departments of Transportation agreed to this set-aside for research because it promised better performing roads, lower life cycle costs, and thus, in the long run a more effective use of funds (after Tappeiner, 1996). 2.2.2 Superpave Mix Design For all HMA mixes, the mix design procedure involves a process of selecting and proportioning ingredients to obtain specific pavement performance properties in 11 which it is also economical. The gradation mixture must have the following criteria (The Asphalt Institute, 1990): • Enough asphalt binder to ensure a durable compacted pavement by thoroughly coating and bonding the aggregate. • Enough workability to permit mixture placement and compaction without aggregate segregation. • Enough mixture stability to withstand the repeated loading of traffic without distortion or displacement. • Sufficient voids or air spaces in the compacted mixture to allow a slight additional amount of added compaction by the repeated loading of traffic. These air voids will prevent asphalt binder bleeding or a loss of mixture stability. The volume of air voids should not be so large to allow excessive oxidation or moisture damage of the mixture. • The proper selection of aggregates to provide skid resistance in high speed traffic applications. A Superpave mix design incorporates several major steps. These are selection of materials, selection of aggregate gradation, selection of asphalt binder, and evaluation of mix design. As it is with all hot mix asphalt, the design compaction levels must be established. Superpave mix design consists of three levels. These levels relates to the expected traffic and other considerations for different degree of reliability. Expected traffic levels for the design life of the pavement characterized by the equivalent standard axle loads (ESALs) are quantified as low (≤1 million ESALs), medium (1 – 10 million ESALs) , and high (≥10 million ESALs) (after Tappeiner, 1996). The three levels are described as follow: • Level one mixture design incorporates careful material selection and volumetric proportioning to produce a mixture that will perform satisfactorily. It is for asphalt pavements exposed to low traffic. The laboratory compacted effort is adjusted to suit the traffic loading expected, and compaction temperature. 12 • Level two and three applies all the level one procedure and at the same time, included two additional pieces of laboratory equipment to test a range of mixture performance tests such as permanent deformation and fatigue cracking to evaluate the asphalt’s response to various loading and temperature conditions. The additional equipment is known as the Superpave Shear Tester (SST) and the Indirect Tensile Tester (IDT). The SST can perform six tests on the mixture i.e. volumetric test; uniaxial test; repeated shear test at constant stress ratio; repeated shear test at a constant height; simple shear test at a constant height; and frequency sweep test at a constant height. The IDT can perform test for creep compliance and the strength of the mixture using an indirect tensile loading at intermediate to low temperatures. 2.2.3 Superpave Gyratory Compactor The SGC is an electrohydraulic machine consisting of the following components: • Reaction frame, rotating base, and motor; • Loading ram and pressure gauge; • Specimen height measuring and recording system; and • Mould base and plate. The SGC is based on the Texas gyratory compactor discussed in section 2.2.1 combining the characteristics of the French gyratory compactor. In May 1991, the Rainhart Company of the United States was awarded a contract for the manufacture of one modified gyratory shear-testing machine (Harman et al., 2002). The Asphalt Institute attempted to fabricate a French style gyratory fixed with 1° angle from a Texas Highway Department manufactured Texas 6 inch gyratory in 1991 and many of the mixture testing of SHRP was done with this equipment. Investigation by FHWA on this device showed the mould wall angle was 1.23°, not 1° as originally 13 desired. After discussion and reviews, SHRP researchers came up with the final specification for the SHRP gyratory compactor with vertical consolidation pressure of 600 kPa, fixed angle of gyration of 1.25°, and speed of gyration of 30 rpm (Harman et al., 2002). The issue of tolerance for manufacturers of the gyratory compactor surfaced when they were allowed an error of ±0.02° for the angle of gyration, ±10 kPa for the pressure loading and ±0.5 rpm for the speed of gyration. However, the manufacturers indicated that these tolerances were too tight and would raise the cost of the device by more than half (Harman et al., 2002). Two company awarded the manufacturing of gyratory compactors are Pine Instruments Company and Troxler Electronics. When compared to the Texas gyratory, the Pine gyratory yielded a result that is within the limit for bulk specific gravity, Gmb, (AASHTO precision is 0.02). On the other hand, Troxler gyratory showed lower densities and outside of the allowable tolerance. After much discussion with SHRP researchers, the caused was established and the results were due to the wall thickness. The Pine and the Texas compactors’ mould walls were very similar in thickness while the mould walls of the Troxler compactor were much thinner. Thin walls will allow the specimens to cool faster, this increasing the mix stiffness and decreasing the compacted specimen’s density. Troxler later redesign the mould in an effort to make the two compactors more comparable. Currently, there are five companies that are manufacturing SGC for the use in United States offering a total of eight different models (Harman et al., 2002). All Superpave gyratory compactors are designed to meet the specification criteria found in AASHTO T312. For external gyration angle, all SGCs are required to follow the specification of 1.25°±0.02°, vertical pressure of 600±18 kPa, rotational rate of 30±0.5 rpm, and height recording of 0.1mm per gyration (Buchanan, Brunfield, and Sheffield, 2004). With so many manufacturers and models available, different agencies that used different SGC have reported significant differences in term of bulk specific 14 gravity, which can exceed 0.025 (approximately 1% air voids) (NCHRP, 2000; Buchanan and Brown, 2001). In Alabama, the differences in air voids for the average of three compacted samples of up to 0.8 percent may be expected between samples compacted in different brands of SGCs. The difference could be as high as 2.3 percent air voids between any two compactors (Prowell, Brown, and Hunner, 2003). Buchanan, Brunfield, and Sheffield (2004) addressed this issue by investigating the gyration angle of SGCs. Internal angle verifications were conducted with Dynamic Verification Angle (DAV) while the external angle verifications were conducted in accordance with the SGC manufacturer’s recommended protocols. Specimens were compacted with a properly verified and calibrated SGC that is in accordance to the manufacturer’s protocol. Gyration angles will decrease during compaction depending upon the HMA mix characteristics. Figure 2.1 shows the change in bulk specific gravity against external and internal angles for the SGCs used. Buchanan and Brown (2001) also concluded that the precision of the Superpave gyratory compactor is better than the mechanical Marshall hammer. Figure 2.1: External and internal gyration angles versus Gmb (Buchanan et al., 2004) The observed difference in bulk specific gravity corresponds to an air void difference of 0.97% and a VMA difference of 0.9%. Buchanan, Brunfield, and Sheffield (2004) further suggested the possible reason for observed differences may 15 be due to the ram foot deflection or framework movement is likely to have an internal angle that is different than the unloaded or loaded external measured angle. The effect of angle of gyration on density was also investigated by Swami, Menta, and Bose (2004). Figure 2.2 shows the mixture compaction characteristics with variation in angle of gyration. The trend shows that percent maximum theoretical density, TMD, increases with the increase in angle of gyration. Figure 2.2: Mixture compaction characteristics with variation in angle (Swami et al., 2004) In the quest to improve on the provisional standard of AASHTO TP4: Standard Method for Preparing and Determining the Density of Hot Mix Asphalt (HMA) Specimens by Means of the SHRP Gyratory Compactor, McGennis et al. (1997) conducted a ruggedness evaluation of the standard. Seven main factors as listed in Table 2.1 with the high and low values used in the experiment were evaluated in the ruggedness experiment. Table 2.1: Main factors evaluated in ruggedness experiment (McGennis et al., 1997) Main Factor Angle of Gyration, degrees Mould Loading Procedure Compaction Pressure, kPa Precompaction Compaction Temperature, °C Specimen Height,mm Aging Period @135°C, hours Levels Low (1.22 to 1.24) and High (1.26 to 1.28) Transfer Bowl Method and Direct Loading Method 582 and 618 None and 10 thrusts with Standard Rod @ 0.250Pa-s viscosity and @ 0.310Pa-s viscosity Low (around 110mm) and High (around 120mm) 3.5 and 4 16 The ruggedness evaluation revealed that the tolerance on compaction angle of 1.25° (±0.02°) and the tolerance for compaction temperature in the range of 141 to 146°C with the viscosity between 0.250Pa-s and 0.310Pa-s is reasonable. Method of loading procedure and precompaction does not give any significant changes to the results. The tolerance on compaction pressure (±18kPa) is too high while the tolerance on specimen height (±1mm) is too narrow. The aging period is inclusive of the 30min compaction temperature equilibrium period. This specification (AASHTO TP4), however, has been superseded by the current specification of AASHTO T312. The SGC is also capable of predicting HMA stability during compaction (Dessouky, Masad, and Bayoumy, 2004). This method is functional with the help of mathematical derivation and a new stability index. This will indeed save the cost of buying other equipments. 2.2.4 Superpave in Malaysian Scenario The Malaysian government has encourage all its citizens to learn and bring about new technology to lead the country into becoming a develop country. In doing so, many organizations have rise to the challenge and among them is Malaysia’s Public Works Research Institute (IKRAM). IKRAM has responded to the government’s call by participating in a SHRP Superpave training program to learn firsthand about what Superpave has to offer. This was later applied in the technical specifications for runway and taxiway pavement for the then on-going prestigious Kuala Lumpur International Airport (KLIA) project (Tappeiner, 1996; Harun, 1996). Malaysia became the first country in Asia to use Superpave-based specifications in a large commercial project. Other countries like the People’s Republic of China, Japan, South Korea and other Asean nations followed subsequently in adopting this new technology, with some of these nations have procured the new testing equipment and are in the process of arranging training 17 programs (Tappeiner, 1996). The KLIA project was implemented with some changes to suit the local condition. In order to look into the modification, a basic understanding of the bituminous pavement behaviour under the tropical conditions, especially in Malaysia is needed. Generally, pavements in Malaysia require major maintenance activities in about four to six years from its construction date as compared to the United States, between eight to ten years (Badaruddin, 1994). Among the factors that contributed to the pavement deterioration are traffic loads, pavement age, and environmental condition. Hameed (1994) stated that the common causes of pavement distress in this country can be attributed to reflective cracking, age hardening of the bituminous surfacing, and rutting. Reflective cracking occur as a result of crack or joint pattern in the underlying layer, and may be either environment or traffic induced (after Hameed, 1994). Age hardening of bitumen causes the pavement to become brittle and this type of cracking, most common in tropical countries, starts at the top surface and propagates downwards. This can be explained as the bitumen in the top few millimeters of the mix hardens at a higher rate than in the main body of the mix (Hameed, 1994). Malaysia’s hot (high temperatures with ultra violet light radiation) and humid condition tends to accelerate the ageing process. The main causes for rutting in the wheelpaths are secondary compaction, instability of the mix, insufficient load distribution, inadequate base or subbase and sugrade movement. If not treated, rutting may lead to cracking and this condition is worsen by the high rainfall intensity experienced in Malaysia. Looking at these deteriorations, Badaruddin (1994) recommended to modify the mix design procedure by modifying the gradation of the aggregates and characteristics of the bituminous mixtures in order to produce quality pavements. On wider basis, Cham (1994) studied on the asphalt mix production technology in four Asean countries, namely Brunei, Indonesia, Malaysia, and Singapore. The HMA is of Marshall design method and the author noted the differences of the design requirements for asphalt wearing course as can be seen in Table 2.2 with the exception of Brunei. The differences of the aggregate gradation of HMA mixtures used in the region for different projects were also given (Figure 2.3). The author also acknowledges the different grade of asphalt binder, which is 18 crucial in a Superpave mix design. Hot mix asphalt for Singapore are produced with penetration of 60/70 PEN while the other three countries are using penetration grade of 80/100 PEN. Table 2.2: Examples of design requirements for asphalt wearing courses (Cham, 1994) Mix Property Stability Flow Stiffness Air Voids Voids in aggregate filled with bitumen Retained stability after 24h soaking Bitumen content Malaysia > 500 kg > 2mm 250 kg/mm 3 – 5% Singapore > 9 kN 2 – 4mm 3 – 5% Indonesia 700 – 1500 kg 2.1 – 50 kN/mm 4 – 6% 75 – 85% 75 – 82% - - - ≥ 75% 5 – 7% 5.5 – 6.5% ≥ 6.7% Figure 2.3: Aggregate gradation for projects in Brunei, Indonesia, Malaysia, and Singapore (Cham, 1994) For the KLIA project, the bituminous binder specification was chosen with due considerations given to the tropical climate and loading with both the binder and wearing course used PG76-10 (Tappeiner, 1996). Available sources of unmodified bitumen did not meet at 76°C the shear stiffness requirement as stipulated in the 19 Superpave specification. Therefore, polymer-modified asphalt was selected and specified (Harun, 1996). Because of the complexity of adopting Superpave’s advanced mix design and quality control system within the short period of time allowed by the KLIA project schedule, only the Superpave bituminous binder specifications have been included in the KLIA project. These performance based binder specifications were combined with design and evaluation procedures similar to those described in NCHRP Report 338: Asphalt-Aggregate Mixture Analysis System (AAMAS) (after Tappeiner, 1996). Two stages were used to evaluate the mix design; Stage 1 – volumetric properties tested with traditional Marshall mix design procedure, and Stage 2 – mechanistic mixture tests for several binder contents determined from Stage 1. Harun (1996) discussed some of the binder specification tests, which have been incorporated in the quality assurance program of the KLIA project. It is briefly summarized below: • Dynamic Shear Rheometer – to characterize the viscous and elastic behaviour of binder. • Rotational Viscometer – to ensure that the binder is sufficiently fluid when pumping and mixing. • Pressure Aging Vessel – to compress time so that long term aging can be simulated in only 20 hours. The application of Superpave binder specification in the KLIA project has set a path for a new era of mix design in Malaysia, which in return will allow Malaysia’s researcher, consultants and contractors to become highly competitive in the Asean and world society. 2.3 Comparison of Superpave and Malaysian Mixes Despite the effort to introduce the Superpave mix design in Malaysia, contractors are still more comfortable in using the conventional Marshall mix design. Furthermore, the initial cost to setup the SGC is very costly. However, this section will look into the specification. 20 Most Malaysian mixes are designed based on Marshall method as parameters and limitations specified in JKR/SPJ/rev2005 are from Marshall method. In comparison for Superpave and the Malaysian mixes, few major differences are noted. The differences lay in the aggregate gradation, binder grading system, and air voids specification. The Superpave gradation exercised a different sieve size from the Malaysian gradation limits. The difference in sieve sizes is given in Table 2.3. Table 2.3: Difference in Superpave and Malaysian sieve sizes NMAS for Superpave mixes, mm 50.0 37.5 25.0 19.0 12.5 9.5 12.5 9.5 4.75 2.36 1.18 0.6 0.3 0.15 0.075 NMAS for Malaysian mixes, mm 37.5 28.0 20.0 14.0 10.0 5.0 3.35 1.18 0.425 0.15 0.075 As for binder grading system, Superpave grades the binder with Performance Grading system while Malaysia draws on the Penetration system. Superpave mix design specified 4% air voids to be achieved for all the mixes but Malaysia’s design stipulated an a 3-5% air voids for wearing course and 4-6% air voids for binder course. Other requirement that differs includes the materials requirements. The significant difference between Marshall and Superpave is the compaction effort. Marshall adopts an impact type of compaction with the Marshall hammer dropping on the samples at fixed height and weight. Superpave uses the kneading action by a static constant loading and at the same time gyrating the mould with samples to a given density or number of gyrations. Superpave method also does not require any stability or flow testing on the samples. 21 2.4 Measurements of Compaction In a hot mix asphalt mix design, the most important property to evaluate the mix is the volumetric properties. Marshall and Superpave mix design adopted the volumetric properties either for laboratory compacted samples or on-site cored samples. The fundamental volumetric properties of a compacted asphalt mixture are air voids, voids in mineral aggregate, voids filled with bitumen, and effective bitumen content (Lavin, 2003). Other volumetric properties can be further elaborated in Figure 2.4. Vtm Air Asphalt Absorbed asphalt Vfb Vma Vb Vba Vmm Vsb Vmb Vse Aggregate Figure 2.4: Volumetric diagram As such, volumetric properties are based on weight-volume relationships. This can be traced to the contribution of Mc Leod (1956) where he pointed out that the design and analysis of asphalt paving mixtures should be based on volumetric properties instead of using the basis of weight as have been practiced widely at that time. Most specifications in those days tended to specify a range of asphalt content by weight along with grading bands or limits for the aggregate, which in effect required a design on the basis of weight. The most serious problem concerning the design of bituminous paving mixtures in Canada is found to be the coarse and fine aggregate combinations, which resulted in a too densely graded mix. He developed the volumetric criteria such as VMA, VFA, and volume of air voids and reported that it contain errors when calculated by weight. Kandhal, Foo, and Mallick, (1998) reported that McLeod worked with Marshall hammer of 75 blows, and recommended 22 that the VMA should be restricted to a minimum value of 15%, the volume of air voids (within the VMA) should lie between 3 to 5%, which in turn restricted the volume of asphalt binder in the compacted mixture to a permissible minimum of 10% by volume. This automatically established minimum asphalt content of about 4.5% by weight (10% by volume). High air voids lead to permeability of water and air resulting in water damage, oxidation, and cracking. Low air voids lead to rutting and shoving of the asphalt mixture (Brown, 1990). The voids in an asphalt mixture and density are directly related. Thus, the density must be controlled to ensure that the voids are within a specified range. The basic physical property of any material in weight-volume relationships is the specific gravity (Lavin, 2003). Density of the compacted samples can be obtained by multiplying the bulk specific gravity of the mix by the density of water (1000 kg/m3) (The Asphalt Institute, 1983). Specific gravity is a ratio of the mass of a material of a given volume to the weight of an equal volume of water, both at same temperature. The specific gravity of a material is used to bridge the gap between weight and volume relationships in asphalt mixture design. Lavin (2003) stated five different types of specific gravity measurements used in the volumetric analysis of asphalt mixtures: • Apparent specific gravity, Gsa: the ratio of the mass in air of a unit volume of an impermeable aggregate or stone at a stated temperature. • Bulk specific gravity, Gsb: the ratio of the mass in air of a unit volume of a permeable (including both permeable and impermeable voids) aggregate at a stated temperature. • Effective specific gravity, Gse: the ratio of the mass in air of a unit volume of permeable (excluding voids permeable to the asphalt binder) aggregate at a stated temperature. • Bulk specific gravity of the compacted asphalt mixture, Gmb: the ratio of the mass in air of a unit volume of a compacted specimen of an asphalt mixture at a stated temperature. • Theoretical maximum specific gravity of an asphalt mixture, TMD: the ratio of the mass in air of a unit volume of an uncompacted or 23 loose asphalt mixture at a stated temperature. It is also known as the Rice specific gravity, named after James Rice, the developer of the test procedure to measure the maximum specific gravity. In another paper presented by McLeod (after Kandhal, Foo, and Mallick, 1998), he pleaded for the use of bulk specific gravity of the aggregate for calculating both the VMA and the air voids. In the previous research, McLeod did not consider asphalt absorption but this subsequent work took into account the absorption of the asphalt binder into the aggregate. Again, McLeod recommended that the lowest permissible asphalt content in a hot mix asphalt mix should be 4.5% by weight, to ensure the mix durability. He also proposed a relationship between the minimum VMA and the nominal maximum particle size of the aggregate, which is based on the relationship of the bulk specific gravity of the aggregate and an air voids content of 5%. This was later revised by the Asphalt Institute to 4% and is now incorporated in the Superpave mix design (Asphalt Institute, 1993). In an evaluation of selected methods for measuring the bulk specific gravity of compacted HMA mixes, Buchanan (after NCAT, 2000) studied on four methods available, namely water displacement method, dimensional analysis, parafilm, and the vacuum sealing method. The selected conclusions drawn from the study are: • The vacuum sealing and the water displacement methods provided similar results for the fine and coarse graded Superpave mixes. • A good relationship between the percent absorbed water and the differences between the vacuum sealing and the water displacement methods was observed. Significant errors in the calculated air voids can result by using the water displacement method even though the percent absorbed water is less than the currently specified maximum limit of 2%. These errors were shown to be as much as approximately 1% for 0.5% absorbed water and as high as 6% for 2% absorbed water. • Significant errors in the calculated air voids contents can result from only small errors in the volume calculation using dimensional analysis. A 1% error was shown to yield a 1% error in air voids. 24 • The vacuum sealing method appears to most accurately measure the bulk specific gravity of all the samples evaluated; regardless of mix type, aggregate type, compaction level, or sample state (cut or uncut). This was also reported by Bhattacharjee and Mallick (2002). However, the water displacement method generally provides acceptable results for the majority of dense graded mixes. Maximum theoretical specific gravity of HMA can be obtained by two methods, namely the Rice method, and the Texas C-14 method. Rice approved of using backcalculation from a single Rice test to get the maximum theoretical specific gravities. However, he rejected the idea of theoretical approach based on bulk specific gravity of aggregate due to low maximum theoretical specific gravities and high relative densities (Solaimanian and Kennedy, 1989). As for the Texas C-14 method, it has lower design asphalt content than the uncorrected Rice method for water absorption. To have a same result, it is recommended that asphalt content for Rice method adopts 96% relative density while Texas C-14 method adopts 97% relative density. Brown (1990) stated three methods to specify density at site: percent of laboratory density, percent of theoretical density, and percent of control strip. Percent of laboratory density requires that the in-place material be compacted to some percentage of the laboratory density, typically at least 95%. The second method requires that mix to be compacted to some minimum percentage of the theoretical maximum density. This method is direct in specifying the maximum inplace air voids and an indirect method for controlling compaction. The third method to specify density as percent of control strip is to compare the bulk density of the inplace asphalt mix to the bulk density of a control strip that had been constructed using standard compaction techniques. However, this method is the least desirable of the three methods as it does not allow the compactibility of a mix to be evaluated. In the Superpave mix design method, the compaction of mixtures is a function of the number of gyrations completed by the SGC. The traffic loading specific number of gyrations is known as the design number of gyrations, or Ndes. It is based on estimated ESALs for 20 years design life. Two other parameters 25 introduced are Ninitial and Nmaximum or Nmax. Both Ninitial and Nmax are mathematically related to Ndes as follow: Log Ninitial = 0.45 Log Ndes (1) Log Nmax = 1.1 Log Ndes (2) Initially, the specimens were compacted to Nmax. The densities and volumetric properties were then backcalculated from Nmax. Vavrik and Carpenter (1998) pointed out that there were errors when performing backcalculation. They stated that samples that were compacted to Nmax yielded about 2% air voids but when backcalculated to Ndes, the 4% desired air voids cannot be achieved. This is true for both mix design and field quality control testing. As a result of this, specimens are compacted to Ndes (96% relative density) instead of Nmax (Jackson and Czor, 2003). The Ninitial is used to give an estimate of the asphalt mixture’s ability to be compacted by rollers during placement of the mixture in the field. The mixture is compacted by the SGC to Ninitial, and an estimated bulk specific gravity is determined by the SGC. The design ESALs determines the maximum density amount at Ninitial. The mixture is then further compacted to Ndes, where another estimated bulk specific gravity is determined by the SGC. The specimen is then extruded and its actual or measured specific gravity is determined. The specific gravity of the specimen at the maximum number of gyrations, Nmax is extrapolated from the information provided at Ninitial and Ndes. The density at Nmax is relevant in that the specific gravity or density of the specimen at Nmax should not be greater than 98% of the theoretical maximum specific gravity. A high density at Nmax is undesirable, since Nmax represents a traffic level much higher than that for which the project is designed. By limiting the density at Nmax, it is expected that the mixture will not densify to extremely low air voids with unexpectedly high traffic or ESALs (after Lavin, 2003). Table 2.4 shows the various density requirements at different ESALs loading. Table 2.4: Density requirements (Lavin, 2003) Design ESALs 20 years < 300,000 300,000 to < 3,000,000 3,000,000 to < 30,000,000 ≥ 30,000,000 Required relative Density (% of Gmm) Ninitial Ndes Nmax ≤98.0 96.0 ≤91.5 ≤98.0 96.0 ≤90.5 ≤98.0 96.0 ≤89.0 ≤98.0 96.0 ≤89.0 26 2.4.1 Voids in Mineral Aggregates Research has shown that many organizations found difficulty in implementing the minimum requirement of VMA for Superpave mixes (Kandhal, Foo, and Mallick, 1998). This can generally be attributed to the increase compaction effort by SGC. The rationale behind the minimum VMA requirement was to incorporate at least a minimum permissible asphalt content into the mix in order to ensure the pavement durability. This is especially true for coarse graded mixes where the surface area is low and thus, having difficulty in meeting the minimum VMA requirement. Kandhal, Foo, and Mallick, (1998) also suggested the usage of minimum average asphalt film thickness to ensure mix durability instead of minimum VMA. A minimum average thickness of 8 microns was recommended, which can actually be calculated from the asphalt content and surface area of the aggregate. In reviewing the validity of the minimum VMA requirement vs. NMAS required in Superpave volumetric mix design, Hislop and Coree (2000) found that the measured minimum VMA requirements fit the data trend reasonably well. However, the values are typically less than the Superpave criteria. This measured minimum VMA refers to VMA values when the mixes became unsound or unstable. Table 2.5 shows the values for observed VMA and the minimum required VMA. An ANOVA analysis revealed that NMAS becomes insignificant when other aggregate properties such as gradation and surface texture were introduced. This also confirms the work by Abdullah, Obaidat, and Abu-Sa’da (1998), who concluded that the coarser the mix, the higher the VMA and VTM would be, thus making the mix porous and water permeable. This contributed to the rate of increase in the water permeability for the same type of aggregate. Table 2.5: Comparison of observed critical VMA values with Superpave requirements (Hislop and Coree, 2000) Nominal Maximum Aggregate Size 9.5 mm 12.5 mm 19 mm Observed VMA, Average Value 13.5 12.3 11.2 Observed VMA, Standard Deviation 1.5 1.1 1.7 Minimum Required VMA 15 14 13 27 In a report on the guidelines to increase VMA of Superpave mixes prepared by the Ad-Hoc Mix Design Task Group, they stated three factors that contributed to the VMA values, namely gradation, surface texture, and aggregate shape. Among some recommendations that were given to increase the VMA value include lowering the dust content, blending the aggregates to give a gap graded mix, and having a rougher surface texture. 2.5 Relation of NMAS to Pavement Deformations NMAS is defined as the largest sieve size that retains some of the aggregate particles, but generally not more than 10 percent (Roberts et al., 1996). Design of a pavement must be able to give strength and durability, while effects such as rutting, bleeding, tenderness, permeable pavement, cracking, and other deformations must be avoided. Studies by Mallick et al. and Cooley et al, (after Hainin, Cooley, and Prowell, 2003) indicated that NMAS has a great influence on the permeability characteristics of a pavement. The increment of NMAS has resulted on the higher potential for interconnected voids, thus increasing the permeability. However, Hainin, Cooley, and Prowell (2003) found an interestingly different position when their study showed that NMAS was not among the factors identified as affecting permeability. The explanation offered was that 39 out of the 42 projects included for their study have either a 9.5 or 12.5mm NMAS. Back in the early 90s, rutting is a major problem experience on most pavements in United States. This is primarily attributed to the high tyre pressures and increased wheel loads (Kandhal, 1990). Therefore, in order to minimize rutting, the use of large size stone, categorized as larger than one inch, was proposed to be incorporated into the binder and base courses. 28 2.6 Field Performance One of the goals of laboratory testing is to determine the performance of the pavement and ascertain the field samples properties. In 1991, Brown and Cross investigated relationships between the measured density of the mixture obtained in the mix design, during quality control of the mixture (laboratory compaction of field produced mix), after initial compaction (cores obtained after construction and before traffic), the final density obtained from pavement cores after densification by traffic and the density of recompacted samples. These samples were compacted with 75 Marshall blows and 300 revolutions on the GTM set at 120 psi and 1°. They concluded that in-place unit weight of the pavement after traffic usually exceeded the mix design unit weight resulting in low air voids and hence premature rutting. Mix containing air voids below 3% greatly increase the probability of premature rutting and the in-place unit weights of the pavement after traffic usually exceed the mix design unit weight resulting in low air voids and hence premature rutting. They further mentioned that the GTM gives reasonable design density and void content for up to 9 million ESALs while the Marshall compaction only gives reasonable design density and void content for up to 6 million ESALs. Even though Ford (after Brown, 1990) used Marshall compaction method, he agreed that low air voids lead to premature rutting and suggested that air voids should at least be of 2.5%. Figure 2.6 shows relationship of air voids and rut depth in Arkansas. Figure 2.6: Relationship of air voids and rut depth in Arkansas (after Brown, 1990) 29 Supporting the work of Brown and Cross, Peterson, Mahboub, and Anderson, (2004) showed that there was significant difference in terms of mechanical properties in the final HMA pavement constructed and the laboratory data. The laboratory specimens and field cores were made of the same material and compacted to the same air voids. The air voids in HMA were used as a key parameter linking laboratory to field compaction. The laboratory compacted specimens showed higher stiffness. They also found that the best result may be achieved by using the current 1.25° gyratory angle and 400 kPa pressure. A phenomenon referred to as “VMA collapse” is suspected to have contributed to many pavement failures despite the fact that the mix produced and compacted at laboratory has sufficient VMA, yet after construction, the measured VMA is significantly lower (Chadbourn et al., 1999). In general, VMA collapse is caused by a combination of two elements, i.e. generation of fines during construction due to aggregate degradation, and higher asphalt absorption due to high plant mix temperatures, long hauling distances, and aggregate porosity. They also reported that is a HMA has about the same asphalt film thickness from mix design to production, there will be little or no change in VMA. 2.7 Summary Researches and studies done by others were reviewed in this chapter. It began with the discussion of Superpave. Superpave originated from the SHRP, a collaborative research program that has initially focused on the asphalt binder. Superpave mix design consisted of three levels, but only level one is widely in use. The centrepiece of Superpave revolves around the Superpave Gyratory Compactor. The gyratory concept is not entirely new but was modified from the Texas gyratory compactor and French gyratory compactor. Many models of SGC are available in the market but this has led to inconsistency of data obtained. A lot of researches were conducted to evaluate the influence of different parameters of SGC on the properties of mix. In Malaysia, the Superpave was adopted for the KLIA project. 30 The difference between Superpave and Malaysian mixes are noted in terms of the aggregate gradation, binder grading system, and air voids specification. Volumetric properties are the basic for evaluation of a mix. It is based on weight-volume relationships, which uses the specific gravity to convert one parameter to the other. Initially, design and analysis were based on weight, but yielded some errors when calculating for volumetric criteria such as VMA, VFA, and volume of air voids. Air voids and density are directly related. There are four methods of measuring bulk specific gravity of compacted mixes, i.e. water displacement method, dimensional analysis, paraffin, and the vacuum sealing method. Compaction with SGC has three specific numbers of gyrations for certain purposes: Ndes is related to the desired percent of air voids, Ninitial is related to compaction by rollers at site, and Nmax relates to rutting behaviour. Research has shown that many organizations found difficulty in implementing the minimum requirement of VMA for Superpave mixes. He steps recommended to achieve the required VMA, among others, include using a minimum average asphalt thickness of 8 microns, and using VMA values when the mix became unsound or unstable. Researchers have found that NMAS was linked to pavement deformation such as permeability and rutting. Comparison between field cores and laboratory compacted specimens showed some differences such as lower air voids and stiffness for field cores. Also, a phenomenon called “VMA collapse” is seen to be one of the contributing factors to pavement failures. CHAPTER 3 METHODOLOGY 3.1 Introduction The purpose of this study was to look into the effects of nominal maximum aggregate size on the properties of hot mix asphalt. This study used the Superpave method as published by National Asphalt Paving Association along with the Public Works Department of Malaysia’s specifications for the different type of mixes. The types of mixes that were designed are AC10, AC14, AC20, and AC28. The specimens were subjected to compaction by the Superpave Gyratory Compactor. Two levels of compaction that have been specified were 75 and 100 gyrations, specifying the Malaysian traffic loading conditions. Specimens for each of the mix types were prepared using minimum of three binder contents to obtain the optimum bitumen content. All tests were conducted at Universiti Teknologi Malaysia’s Transportation Laboratory. Tests were conducted on the aggregates, loose mix, and compacted mix in order to obtain the properties of all the mixes. 32 3.2 Operational Framework The laboratory work consisted of two series of tests with the first being tests done prior to mixing and second series being the tests done on prepared specimens. The tests to be conducted for the first series are sieve analysis, and determination of specific gravity for aggregate (coarse and fine). The aggregates obtained from the Malaysian Rock Product Quarry (MRP) were dried sieve to separate the aggregates into different sizes for later use. Washed sieve analysis was done to determine the percentage of dust and silt-clay material in order to check the need for filler material. Aggregate blending satisfying the JKR gradation limits were used. Subsequently, the process of specific gravity determination for coarse and fine aggregate took place. Bitumen of 80-100 PEN was used in this study. The second series involved the mix design. A total of 90 specimens were prepared. The sample preparation incorporates specifying the mixing and compaction temperatures, sample shot-term aging, and determining the optimum bitumen content. The Rice method will be used in determining the TMD, and water displacement method was used in determining the bulk specific gravity of the mix. The general procedures for laboratory work are illustrated in Figure 3.1. 33 Aggregates from the MRP Quarry Wash sieve analysis to determine the percentage of dust and silt-clay Dry sieve analysis to distribute the aggregates into different sizes Determination of specific gravity for coarse and fine aggregate Aggregate blending to obtain the desired gradation that is well within the gradation limits Mixing Short Term Aging Compaction (75 or 100 Determination of Theoretical Maximum Density, TMD Determination of Bulk Specific Gravity, Gmb Determination of OBC at 4±1% air Determination of VMA, VFB, WA, and D:B Verification Samples Analyses and Discussion Figure 3.1: Flow diagram for laboratory analysis process 34 3.3 Preparation of Materials for Mix Materials that are going to be use for this study are aggregate, bituminous binder, filler, and anti-stripping agent. All materials are to be prepared in accordance with the Standard Specification for Roadworks published by JKR (JKR/SPJ/rev2005). 3.3.1 Aggregates According to JKR/SPJ/rev2005, aggregate for asphaltic concrete shall be a mixture of coarse and fine aggregates, and mineral filler. The coarse aggregate conformed to the requirements – the Los Angeles Abrasion Value shall not be more than 25% (ASTM C 131), the weighted average loss of weight in the magnesium sulphate soundness test of 5 cycles shall not be more than 18% (AASHTO T 104), flakiness index shall not be more than 25% (MS30), water absorption shall not be more than 2% (MS30), and polished stone value shall not be less than 40 (MS30). Fine aggregate normally consists of quarry dusts. Fine aggregate conformed to the requirements – sand equivalent of aggregate fraction passing the 4.75mm sieve shall be not less than 45% (ASTM D 2419), fine aggregate angularity shall not be less than 45% (ASTM C 1252), the Methylene Blue value shall be not more than 10mg/g (Ohio Department of Transportation Standard Test Method), the weighted average loss of weight in the magnesium sulphate soundness test of 5 cycles shall not be more than 18% (AASHTO T 104), and the water absorption shall not be more than 2% (MS 30). 35 3.3.2 Bituminous Binder Bituminous binder for asphaltic concrete was bitumen of penetration grade 80-100, which conformed to MS 124. The specific gravity was 1.03. 3.3.3 Mineral Filler Mineral filler for this study was ordinary Portland cement, which was sufficiently dry and essentially free from agglomerations. The mineral filler also served the purpose as an anti-stripping agent. 3.4 Sieve Analysis There are two methods for determining aggregate gradation, i.e. dry sieve analysis and washed-sieve analysis. 3.4.1 Dry Sieve Analysis Dry sieve analysis were performed on aggregates obtain from quarry, Malaysian Rock Product Sdn. Bhd. (MRP), Ulu Choh, Kulai, Johor. This test was done to separate the aggregate into different sizes. Dry sieve analysis were in accordance with ASTM C 136 and AASHTO T 27. The apparatus that were used for dry sieve analysis included: (i) Sieves with various sizes starting from 37.5mm to pan; (ii) Mechanical Sieve Shaker; and (iii) Balance with the accuracy of 0.5 g. 36 The procedures for dry sieve analysis are as follow: (i) The sieves were arrange in order of decreasing size of opening from top to bottom on the sieve shaker. (ii) The aggregate were placed on the top sieve and started sieving. (iii) Aggregate that have been sieved were separated according to the size. (iv) For mixing, total aggregate of different sizes as designed were weighed. 3.4.2 Wash Sieve Analysis Wash sieve analysis was done to determine the amount of weight of dust and silt-clay material in the original sample. It is also used to determine the total filler needed for the particular mix. Wash sieve analysis was in accordance with ASTM C 117 and AASHTO T 27. The apparatus used for washed sieve analysis were: (i) Sieve size of 600 and 75μm; (ii) Container; (iii) An oven capable of maintaining a temperature of 110±5°C; and (iv) Balance with the accuracy of 0.1g. The procedures for washed sieve analysis are as follow: (i) The aggregate samples were weighed before being placed on the 600μm sieve, with the 75μm sieve at the bottom.. (ii) The aggregate were thoroughly washed until no particles pass the 75μm sieve. (iii) Carefully, the sample was poured into the container and was left to allow all the aggregate to sink before draining the water out of the container. (iv) The washed sample was dried in an oven at a temperature of 110±5°C for 24 hours. 37 (v) The sample was weighed after 24 hours and the percentage of material finer than 75μm was calculated as follow: Percentage of Material Finer than 75μm = A− B × 100 A Where, A = Original dry mass of sample, g B = Dry mass of sample after washing, g 3.5 Aggregate Blending Aggregate blending involved the process of proportioning the aggregates to obtain the desired gradation that were well within the gradation limits. The gradation limits for the mixes that were prepared as specified by JKR/SPJ/rev2005 are shown in Table 3.1. For this study, the mixes that will be prepared are AC10, AC14, AC20, and AC28. The mixes combined coarse aggregates, fine aggregates, and mineral filler. A smooth curve within the appropriate gradation envelope is desired. Table 3.1: Gradation limits for asphaltic concrete (JKR, 2005) Mix Design BS Sieve Size, mm 37.5 28.0 20.0 14.0 10.0 5.0 3.35 1.18 0.425 0.150 0.075 AC10 100 90 – 100 58 – 72 48 – 64 22 – 40 12 – 26 6 – 14 4–8 AC14 AC20 Percentage Passing (by weight) 100 100 76 – 100 90 – 100 64 – 89 76 – 86 56 – 81 50 – 62 46 – 71 40 – 54 32 – 58 18 – 34 20 – 42 12 – 24 12 – 28 6 – 14 6 – 16 4 – 18 4–8 ACB28 100 90 - 100 72 – 90 58 – 76 48 – 64 30 – 46 24 – 40 14 – 28 8 – 20 4 – 10 3–7 38 3.6 Determination of Specific Gravity for Aggregate The specific gravity of an aggregate provides a mean of expressing the weight-volume characteristics of material. Specific gravity for coarse and fine aggregate was determined separately. By coarse aggregate, it is the aggregates that are retained on the 4.75mm sieve while fine aggregates are those that passing 4.75mm sieve. 3.6.1 Coarse Aggregate The procedure for determining specific gravity for coarse aggregate was in accordance with AASHTO T 85 and ASTM C 127. The apparatus needed were: (i) Balance that is accurate to 0.5g of the sample weight; (ii) Sample container; (iii) Water tank; and (iv) Sieves of 4.75mm sieve. The procedure for determining specific gravity for coarse aggregate was as follow: (i) The aggregate was weighed and washed so as to clean it from dust. (ii) The aggregate was soaked in water for 24 hours. (iii) After 24 hours, the aggregate was weighed together with the water and the mass is recorded as ‘A’. (iv) The aggregate was dried with a damp towel until it was saturated surface dry and was weighed again. The mass of aggregate was recorded as ‘B’. (v) Subsequently, the aggregate was dried in an oven for 24 hours at 110±5°C and cooled before weighing for the third time and the mass of aggregate was recorded as ‘C’. 39 (vi) Specific gravity for coarse aggregate was determined with the following formula: Specific Gravity (Coarse Aggregate) = C B− A Where, A = Weight of aggregate in water, g B = Weight of saturated surface dry aggregate in air, g C = Weight of oven dry aggregate, g 3.6.2 Fine Aggregate The procedure for determining specific gravity for fine aggregate was in accordance with AASHTO T 84 and ASTM C 128. The apparatus needed were: (i) Balance having the capacity of 1kg with the accuracy of 0.1g; (ii) Pycnometer; (iii) Mould in the form of a frustrum of a cone with dimensions as follow: 40±3mm inside diameter at the top, 90±3mm inside diameter at the bottm, and 75±3mm in height; and (iv) Tamper weighing 340±15g and having a flat circular face 25±3mm in diameter. The procedure for determining the specific gravity of fine aggregate were as follow: (i) A ¾ filled pycnometer was weighed and recorded as ‘A’. (ii) The water was poured away until the pycnometer is left to about ¼ filled. About 500g fine aggregate was added in and shake well to get rid of the air. (iii) Again, the pycnometer is filled with water until the original level of ¾ of its volume. The pycnometer was weighed and record as ‘B’. 40 (iv) The aggregate was dried in an oven until the aggregate achieve a constant weight. The oven dry aggregate was weighed and recorded as ‘C’. (v) The aggregate was mixed with water until the aggregate sticks together. Then, the cone test was performed. If about 1/3 of the aggregate slumps after 25 light drops of tamper about 5mm above the top surface of the fine aggregate in a cone, the aggregate is saturated surface dry. The weight of saturated surface dry aggregate was weighed record as ‘D’. (vi) Specific gravity for fine aggregate were determined with the following formula: Specific Gravity (Fine Aggregate) = C D − ( B − A) Where, A = Weight of pycnometer filled with water,g B = Weight of pycnometer with water and aggregate, g C = Weight of oven dry aggregate in air, g D = Weight of saturated surface aggregate, g 3.7 Superpave Mix Design The Superpave mix design procedure has been published by several organizations. The publications are the Asphalt Institute’s Superpave Mix Design, SP-2, third edition, the AASHTO test procedure, T 312, Preparing and Determining the Density of Hot Mix Asphalt Specimens by Means of the Superpave Gyratory Compactor, and the AASHTO practice, PP-28-2000, Standard Practice for Superpave Volumetric Design for Hot Mix Asphalt. For the purpose of this study, the AASHTO T 312 procedure was adopted. A total of 100 specimens were prepared for two compaction levels (75 and 100 gyrations), four types of mix (AC10, AC14, AC20, and AC28), three binder 41 contents for each type of mix with two specimens for each binder content, and two loose specimens for each to determine the theoretical maximum density. 3.7.1 Procedures Generally, the AASHTO T 312 procedure will be divided into two parts, i.e. sample preparation and sample compaction. The sample preparation involves determining the number of gyration from estimated traffic level, specifying mixing and compaction temperatures, and sample short-term aging.. The sample compaction involves heating the specimen moulds and base plates, compaction until Ndes, and determining the asphalt binder content. 3.7.2 Apparatus The apparatus needed for producing the specimens were: (i) An oven to heat up the aggregate, bitumen, and compaction mould; (ii) A pan for aging process; (iii) Scoop for mixing process and to transfer the aggregate into the mould; (iv) Gloves for blending and compaction process; (v) Container for heating bitumen; (vi) Thermometer readable to 200°C for checking and maintaining the temperature of aggregate, bitumen, and the mix; (vii) Balance; (viii) Marker to mark the specimens; (ix) Mixing wok; (x) Paper disc for compaction; (xi) Superpave Gyratory Compactor 42 3.7.3 Specimen Preparation The procedure for specimen preparation listed below is a summary of the AASHTO T 312. (i) The levels of gyrations specified are 75 and 100 gyrations. The gyration number that relates to the ESALs is given in Table 3.2. (ii) For each mix type, a minimum of three percentage of bitumen content were used, starting with the median, and ±0.5% of the median. Each of the bitumen content has two replicate samples requiring 4600g of aggregate each. (iii) Prior to mixing, the aggregate and bitumen were heated in an oven at mixing temperature (160°C) for 24 hours and 1 hour respectively. (iv) During mixing, temperature was controlled at 160°C to allow the aggregate to be thoroughly coated with bitumen. (v) Immediately after mixing, each individual mix was placed in a flat pan in an oven for two hours of short-term aging at compaction temperature of 140°C. Table 3.2: Superpave gyratory compactive effort Design ESALs 20 years <300,000 300,000 to <3,000,000 3,000,000 to <30,000,000 ≥30,000,000 SGC compactive effort (number of gyrations) Ndesign Nmax Ninitial 6 50 75 7 75 115 8 100 160 9 125 205 The procedure for specimen compaction is listed below: (i) The specimen mould and the base plate were preheated at the compaction temperature. (ii) Once the short-term aged mixture reaches compaction temperature, it was placed in the preheated mould, levelled, and a paper disk was placed on top of the mix. The loaded mould was then placed into the SGC, making sure that the mould is centre under the loading ram. The pressure applied was 600kPa and the angle of gyration was 1.25°. 43 (iii) Compaction will proceed until Ndes has been completed, either 75 or 100 gyrations. During compaction, height is measured after each revolution and recorded on the SGC printer. (iv) Compaction process was completed with the extrusion of the compacted specimen and cooling it to room temperature. (v) Identification of the compacted specimen was achieved by marking it with the specimen code. 3.8 Measurement of Density To measure the relative compaction for a HMA mix, the specific gravity is used. This section discusses the method of analysis that will be carried out on the specimens to obtain OBC. To calculate the air voids content for a specimen, the bulk specific gravity of the specimens along with the theoretical maximum density is needed. 3.8.1 Bulk Specific Gravity This test is useful in determining the unit weight of compacted dense mixes. The specimens that have been compacted were taken out from the mould and let to cool at room temperature. Bulk specific gravity was determined using the water displacement method. The specimens were weighed in three conditions, i.e. in air, in water, and saturated surface dry. The method was in accordance with ASTM D 2726. Apparatus: (i) Balance; and (ii) Water bath. The procedure for determining bulk specific gravity is: 44 (i) Mass of specimen in water – immerse the specimen in a water bath at 25°C for 3 to 5 min then weigh in water. Designated the mass as ‘C’. (ii) Mass of saturated surface dry specimen in air – surface dry the specimen by blotting quickly with a damp towel and then weigh in air. Designated the mass as ‘B’. (iii) Mass of oven-dry specimen – compacted specimens that were extracted from the mould and cooled to room temperature. Designated the mass as ‘A’. (iv) The bulk specific gravity for the specimens was calculated using the following equation: Bulk Specific Gravity = A B −C Where, A = Weight of dry specimen in air B = Weight of saturated surface dry specimen in air C = Weight of saturated specimen in water Density = Bulk SG X 997.0 Note: 997.0 = density of water in kg/m3 at 25°C 3.8.2 Theoretical Maximum Density The purpose of conducting this test is to determine the density and theoretical maximum density of loose HMA specimens. The theoretical maximum density was determined using the Rice method (also in accordance with ASTM D 2041). The apparatus needed were: (i) Vacuum container; (ii) Balance; (iii) Vacuum pump or water aspirator; (iv) Residual pressure manometer; (v) Manometer or vacuum gauge; 45 (vi) Thermometer; and (vii) Water bath. The procedure involved will be as follow: (i) The size of the sample conformed to the requirements as shown in Table 3.3. (ii) The particles of the sample of mixture were separated by hand, taking care to avoid fracturing the aggregate, so that the particles of the fine aggregate portion are not larger than 6.3mm. (iii) After mixing, the sample was cooled to room temperature and weighed (designated as ‘A’). Sufficient water was added at a temperature of approximately 25°C to cover the sample completely. (iv) The air trapped in the sample was removed by applying gradually increased vacuum until the residual pressure manometer reads 30mm of Hg or less. This residual pressure was maintained for 5 to 15 min. As the vacuum is working, a mechanical device agitated the container. (v) At the end of the vacuum period, the vacuum was gently released. (vi) The container and contents were suspended in the water bath and for about 10min in which the mass is designated as ‘B’. (vii) The theoretical maximum density were calculated as follow: Theoretical Maximum Density = A A− B Where, A = Mass of oven dry sample in air, g B = Mass of water displaced by sample, g Table 3.3: Minimum sample size requirement for theoretical maximum density (ASTM D 2041) Size of Largest Particle of Aggregate in Mixture, mm 50.0 37.5 25.0 19.0 12.5 9.5 4.75 Minimum Sample Size, g 6000 4000 2500 2000 1500 1000 500 46 3.9 Determination of Optimum Bitumen Content The optimum bitumen content is the amount that provides the desired air voids of 4%, according to National Asphalt Paving Association. Table 3.4 shows the specification of bitumen content as stated in JKR/SPJ/rev2005. Table 3.4: Design bitumen contents (JKR/SPJ/rev2005) Mix AC10 – Wearing Course AC14 – Wearing Course *AC20 – Wearing Course AC28 – Binder Course Bitumen Content 5.0 – 7.0% 4.0 – 6.0% 4.5 – 6.5% 3.5 – 5.5% *AC20 specification is taken from JKR/SPJ/1988 From the Gmb and TMD values, the air voids content for each sample were determined using the following formula: G ⎞ ⎛ Voids in Total Mix, VTM = 100 × ⎜1 − mb ⎟ ⎝ TMD ⎠ Where, Gmb = Bulk specific gravity of mix TMD = Theoretical maximum density The OBC were determined from the graph voids in total mix versus bitumen content where the targeted VTM is 4%. With these OBC values, another two specimens were fabricated to verify that the OBC obtained earlier will give a 4% air voids. 3.10 Determination of Other Properties Once the OBC has been determined, other properties as mentioned in Section 1.4 were also determined from the verified samples. The formulas to determine the properties are include: 47 ⎛ B − A⎞ Water Absorption, WA = ⎜ ⎟ × 100 ⎝ A ⎠ Where, A = Mass of oven-dry specimen, g B = Mass of saturated surface dry specimen, g Voids in Mineral Aggregate, VMA = 100 − Gmb ( Ps ) SGaggblend Where, Gmb = Bulk specific gravity of mix Ps = percent by weight of the total amount of aggregate in the mix SGagg blend = bulk specific gravity of the combined aggregate Voids Filled with Bitumen, VFB = VMA − VTM × 100 VMA Where, VMA = Voids in Mineral Aggregate VTM = Voids in Total Mix 3.11 Summary Chapter 3 describes the methodology that will be used for the study. All the data were obtained through laboratory testing. The operational framework was given to illustrate the whole testing program. Mixes that were prepared are AC10, AC14, AC20, and AC28. Specimens were subjected to compaction using the SGC with 75 and 100 numbers of gyrations. Tests that were conducted are dry and washed sieve analysis, aggregate blending, determination of specific gravity for coarse and fine aggregate, determination of bulk specific gravity, determination of theoretical maximum density, and finally, determining the properties. The properties include optimum bitumen content, bulk specific gravity, theoretical maximum density, water absorption, voids in mineral aggregate, voids filled with bitumen, and dust to binder ratio. CHAPTER 4 RESULTS AND DISCUSSIONS 4.1 Introduction The aim of this study was to look into the effects of nominal maximum aggregate size on the properties of hot mix asphalt when designed with the Malaysian gradation limits but at the same time adopting the Superpave method as published by the National Asphalt Paving Association. The methodology used for this study has been discussed in Chapter 3. Results of each procedure in determining the properties are presented in this chapter and will be further analysed and discussed in depth. 4.2 Results of Tests Conducted on the Materials The constituents of a hot mix asphalt are aggregate (both coarse and fine), mineral filler, and bitumen. All these materials were tested for their specific gravity. Besides that, the aggregates obtained from the MRP Quarry were also tested for the total amount of coated dust. 49 4.2.1 Sieve Analyses Two types of sieve analysis were performed on the aggregates, one being the dry sieve and the other being the wash sieve analysis. The dry sieve analysis was performed to separate the aggregates according to the sieve sizes used in the gradation so as to make it easier to batch the mixes. The gradation of each mix will be further discussed in Section 4.3 Wash sieve analysis were conducted to determine the total amount of dust coated on the aggregates. This is so to calculate the amount of filler and/or dust that might need to be added to the mix. Therefore, the wash sieve analysis was conducted for every mix and the result can be viewed in Appendix A. 4.2.2 Determination of Bulk Specific Gravity of Aggregate The specific gravity test has been carried out for all the materials used in the study, including aggregates, mineral filler, and bitumen. The aggregates were divided into coarse and fine with the earlier defined as aggregates larger than 4.75mm and the latter being defined as aggregates smaller than 4.75mm until 0.075mm. This categorization is in accordance with ASTM standard. In this study, the specific gravity for the aggregates has been determined based on the gradation of AC10. 4.2.2.1 Specific Gravity of Coarse Aggregate As the sample for testing specific gravity of aggregate is based on AC10, the coarse sizes are in the range of 5-10mm. The full results of the test conducted are shown in Appendix B and the specific gravity for coarse aggregate is 2.586. This value was used in determining the bulk specific gravity of aggregate. 50 4.2.2.2 Specific Gravity of Fine Aggregate The specific gravity testing for fine aggregate also utilizes the gradation of AC10. The sizes of aggregates tested range from 0.075mm to 3.35mm. The full results of the test conducted are shown in Appendix C and the specific gravity for fine aggregate is 2.522. This value was used in determining the bulk specific gravity of aggregate. 4.2.2.3 Specific Gravity of Mineral Filler Functioning as an anti stripping agent, the mineral filler chosen for this study was Ordinary Portland Cement (OPC). Studies conducted at the Transportation and Highway Laboratory of Universiti Teknologi Malaysia has found that the specific gravity for OPC is 2.980. This value was used in determining the bulk specific gravity of aggregate. 4.2.2.4 Bulk Specific Gravity of Aggregate The bulk specific gravity of aggregate, also known as specific gravity of aggregate blend, has been calculated using the following equation: SGblend = 100 ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎜ % Coarse Aggregate ⎟ ⎜ % Fine Aggregate ⎟ ⎜ % Mineral Filler ⎟ + + ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ SGcoarse SG fine SG filler ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ Based on the mix, the percentage of coarse aggregate, fine aggregate and mineral filler varies accordingly. The determination of SGblend was done for each mix. The percentage of coarse aggregate was taken as the percentage of aggregate retained on sieve size larger than 4.75mm, which was 5.0mm and above while fine 51 aggregate was taken from sieve size smaller than 4.75mm, which was 3.35mm. Mineral filler was fixed at 2% of the total weight of the aggregate. Table 4.1 shows the values of bulk specific gravity of aggregate. Table 4.1: Values of bulk specific gravity of aggregate Mix Type % Coarse Aggregate % Fine Aggregate % Mineral Filler SGblend AC10 35 63 2 2.552 AC14 44 54 2 2.558 AC20 42 56 2 2.556 AC28 64 34 2 2.571 4.2.2.5 Specific Gravity of Bitumen The bitumen provides the cohesive forces that hold the aggregate particles together. The cohesive forces grow with increasing bitumen viscosity. In this study, bitumen of 80/100 PEN has been used. Based on previous studies conducted at Transportation and Highway Laboratory of Universiti Teknologi Malaysia, the specific gravity of bitumen is taken as 1.03. This value was used in the determination of effective specific gravity of aggregate. 4.3 Aggregate Gradation Aggregate gradation allows the distribution of aggregate into sizes expressed as a percent of total weight. A good gradation will lead to the durability and strength of a pavement. For all the four mixes, the gradation limits was in accordance with JKR Standard Specification as described in Section 3.5. The best design curves that fit the gradation envelopes were chosen based on the 0.45 power chart method. The curves were designed to be far away from the maximum density line (MDL) to provide more room for the bitumen and air voids. Based on this method, the curves were plotted on a normal graph as shown in Figures 4.1 to 4.4. The gradation is attached in Appendix D. 52 AC10 Gradation 120 100 Percentage Passing 80 60 40 20 0 0.000 0.500 1.000 1.500 2.000 2.500 3.000 3.500 Sieve Size to the Power of 0.45 Lower Limit Upper Limit MDL AC10 Gradation Figure 4.1: Gradation limits and design curve for AC10 AC14 Gradation 120 100 Percentage Passing 80 60 40 20 0 0.000 0.500 1.000 1.500 2.000 2.500 3.000 3.500 4.000 Sieve Size to the Power of 0.45 Lower Limit Upper Limit MDL AC14 Figure 4.2: Gradation limits and design curve for AC14 4.500 53 AC20 Gradation 120 100 Percentage Passing 80 60 40 20 0 0.000 0.500 1.000 1.500 2.000 2.500 3.000 3.500 4.000 4.500 5.000 Sieve Size to the Power of 0.45 Lower Limit Upper Limit MDL AC20 Figure 4.3: Gradation limits and design curve for AC20 AC28 Gradation 120 100 Percentage Passing 80 60 40 20 0 0.000 1.000 2.000 3.000 4.000 5.000 6.000 Sieve Size to the Power of 0.45 Lower Limit Upper Limit MDL AC28 Figure 4.4: Gradation limits and design curve for AC28 4.4 Results and Discussions of the Properties The results of the properties obtained from the study are presented in this section. For each gyration level, there are four mixes, i.e. AC10, AC14, AC20, and AC28. A minimum of three bitumen contents were used in preparing two replicate 54 samples for each bitumen content that are compacted to 4±1% air voids. Table 4.2 show the summary of results of the study for 75 and 100 gyrations respectively. The full results are tabulated in Appendices E1 and E2. Results of water absorption and bulk specific gravity was very much dependant on the weight of samples in air, water, and saturated surface dry. The TMD values were obtained from an average of two loose samples with the precision of not more than 0.011 as recommended by ASTM. This precision was also adopted in the bulk specific gravity determination of the verification samples. Other properties were calculated based on the bulk specific gravity. Table 4.2: Summary of results from samples compacted to 4±1% air voids No. of Gyrations 75 100 4.4.1 Mix Type AC10 AC14 AC20 AC28 AC10 AC14 AC20 AC28 OBC (%) 7.3 6.1 4.3 6.0 6.3 5.8 4.2 5.3 Gmb TMD 2.284 2.278 2.344 2.308 2.278 2.297 2.352 2.322 2.367 2.391 2.438 2.394 2.391 2.400 2.443 2.418 WA (%) 0.13 0.24 0.54 0.38 0.14 0.22 0.44 0.34 VMA (%) 16.8 16.4 12.3 15.6 16.0 14.7 11.9 13.6 VFB (%) 79.0 71.2 68.4 76.9 70.4 70.9 68.6 70.9 D:B 0.82 0.96 1.37 0.64 0.96 1.01 1.41 0.81 Optimum Bitumen Content The OBC was obtained from Figures 4.5 and 4.6 for 75 and 100 gyrations respectively. These figures were plotted from the results shown in Table 4.2. According to NAPA method, bitumen content that corresponds to a 4% air voids was chosen as the OBC. Another two samples were prepared using the OBC value for verification purpose. Some of the OBC obtained did not give a 4±1% air voids content when verified. These values were added to the original data and used to get a new OBC for verification. 55 10.00 9.00 8.00 7.00 VTM (%) 6.00 5.00 4.00 3.00 2.00 1.00 0.00 3.0 4.0 5.0 6.0 7.0 8.0 Bitumen Content (%) AC 10 AC14 AC 20 AC 28 Figure 4.5: Determination of optimum bitumen content for 75 gyrations 8.00 7.00 6.00 VTM (%) 5.00 4.00 3.00 2.00 1.00 0.00 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 -1.00 Bitumen Content (%) AC 10 AC14 AC 20 AC 28 Figure 4.6: Determination of optimum bitumen content for 100 gyrations From Table 4.2, it was observed that when the mixes were compacted to 4±1% air voids, the optimum bitumen content showed a variation for each mix. The OBC is also affected by the level of compaction as can be seen in Figure 4.7. For 75 gyrations, the OBC was reported to be 7.3% for AC10, 6.1% for AC14, 4.3% for AC20, and 6% for AC28. The OBC needed for 100 gyrations were 6.3% for AC10, 5.8% for AC14, 4.2% for AC20, and 5.3% for AC28. It can be seen that the bitumen needed is getting lesser as the NMAS increases. However, the OBC 56 increases at NMAS of 28mm. This could be due to more bitumen is needed to coat the aggregate surface area for the smaller NMAS. However, even though the surface area at NMAS of 28mm is lesser, more bitumen is needed to fill the voids in order to get a 4±1% air voids. 8.0 7.0 6.0 5.0 4.0 3.0 2.0 5 10 15 20 25 30 N o m ina l M a xim um A ggre ga t e S ize ( m m ) 75 Gyrations 100 Gyrations Figure 4.7: Optimum bitumen content versus nominal maximum aggregate size According to Asphalt Institute Manual Series No. 22 (1983), excess asphalt may lead to rutting and bleeding, which affect the pavement stability, and poor skid resistance. On the other hand, low asphalt content causes the asphalt film to be thinner, causing early aging. Low asphalt content may also contribute to dryness and raveling. In return, both effects could cause the pavement to be lack of durability and permeable. Except for AC20, all the mixes were in the range of the bitumen content as recommended by JKR when it was compacted to 100 gyrations. For 75 gyrations, all the mixes have an OBC more than specified with the exception of AC20. This obviously shows that lesser compactive effort will need more bitumen in order to have the same air voids content. This pattern is very true for both level of compaction as the gap between the lines is of similar distance. Economical wise, AC20 shows the lowest OBC and this indeed is economical to be use in construction and at the same time providing the mix with sufficient binder to hold the aggregates. 57 4.4.2 Bulk Specific Gravity Gmb was determined for each of the mixes at 75 and 100 gyrations using the water displacement method. Figure 4.8 illustrates the pattern of Gmb for all the mixes. AC20 shows the highest value of Gmb which means that the mix is denser. The total surface area for AC20 is 6.08m2/kg, which is higher than the rest of the mixes (AC10 – 5.49m2/kg, AC14 – 5.27m2/kg, and AC28 - 3.47m2/kg). This makes sense as higher surface area consists of finer aggregates and thus the fine aggregates will work its way in between the coarser aggregates. This has contributed to a denser mix. The sample calculation for the surface area is attached in Appendix F. High Gmb implies that the VMA in HMA will be low. This is addressed later in the report when VMA test results are presented. It is also interesting to note that the Gmb for AC10 is higher than Gmb for AC14, which may be caused by the large difference in the air voids content even though both are within the 4±1% air voids. 2.360 2.350 2.340 2.330 2.320 2.310 2.300 2.290 2.280 2.270 5 10 15 20 25 30 N o m ina l M a xim um A ggre ga t e S ize ( m m ) 75 Gyrations 100 Gyrations Figure 4.8: Bulk specific gravity versus nominal maximum aggregate size For AC14, AC20, and AC28, the Gmb is on a constant pattern for both level of compaction, with 100 gyrations giving a higher Gmb. As for AC10, 75 gyrations gave a higher Gmb. This is due to the difference in percent of air voids as the samples compacted to 75 gyrations are on the lower side of 4±1% air voids (3.52%) while the samples compacted to 100 gyrations are on the higher side of 4±1% air voids (4.73%). It is suggested that if the range of the two compaction efforts are within 1%, the Gmb for 75 gyrations might be lower than 100 gyrations. 58 4.4.3 Theoretical Maximum Density TMD values obtained were based on the OBC used as the Rice method uses the calculation of effective bulk specific gravity to back calculate the bulk specific gravity. The full results for TMD are shown in Appendix G. Figure 4.9 presents the similar pattern to the specific bulk gravity, where the TMD values rises over the NMAS of 10, 14, and 20mm, before descending to the size of 28mm. It was noticed that for AC10, the TMD values does not cross each other as it did with the bulk specific gravity. As TMD is not dependant on the air voids content, therefore, the values are only influenced by the OBC and NMAS. From the discussion on OBC, it was concluded that the OBC increases with the size of NMAS until 20mm and then decreases. Therefore, when this OBC were used in calculations, the TMD values were in line with the earlier results in which when the OBC decreases, the TMD increases. 2.450 2.440 2.430 2.420 2.410 2.400 2.390 2.380 2.370 2.360 5 10 15 20 25 30 N o m ina l M a xim um A ggre ga t e S ize ( m m ) 75 Gyrations 100 Gyrations Figure 4.9: Theoretical maximum density versus nominal maximum aggregate size TMD values that were plotted on Figure 4.9 were obtained from the OBC used to prepare the mixes for other properties. The OBC values were used for both 75 and 100 gyrations. Therefore, the TMD values that correspond to OBC gave Figure 4.9 two lines, plotted as 75 and 100 gyrations. 59 4.4.4 Water Absorption As observed from Figure 4.10, the water absorption for AC10, AC14, and AC28 is quite similar for both level of compaction with 75 gyrations generally had higher water absorption. It is significantly different for AC20 where samples compacted to 75 gyrations has a higher percentage of water absorption. This may be attributed to the fact that with almost similar bitumen content (4.3% and 4.2% for 75 and 100 gyrations respectively) yet different compaction effort, the samples with lesser compaction had more interconnected voids, making it easier for water to be absorbed. 0.60 0.50 0.40 0.30 0.20 0.10 0.00 5 10 15 20 25 30 N o m ina l M a xim um A ggre ga t e S ize ( m m ) 75 Gyrations 100 Gyrations Figure 4.10: Water absorption versus nominal maximum aggregate size In terms of size, NMAS of 10mm have lower water absorption percentage and it steadily increase until NMAS of 20mm where it started to decrease. Smaller NMAS may not have as much interconnected voids that allow the water to be absorbed while NMAS of 20mm (with lesser bitumen content) will have more interconnected voids to allow more water to be absorbed easily. Pavement easily infiltrated with water will have a tendency to be low in strength. 60 4.4.5 Voids in Mineral Aggregate According to the study of Kandhal, Foo and Mallick (1998), the rationale behind the minimum VMA requirement was to incorporate minimum desirable asphalt content into the mix to ensure its durability by allowing sufficient space for the amount of asphalt binder and the correct percentage of air voids. In this study, the VMA for AC10, AC14, and AC28 met the minimum requirement of the Superpave mix design. AC20 has VMA values of 12.28% and 11.85% for 75 and 100 gyrations respectively, which is lower than the minimum requirement of 13% (Figure 4.11). However, when the VMA is calculated based on an average asphalt film thickness of 8 microns that was used by Kandhal, Foo, and Mallick (1998), the VMA value is 14.6%. This also supports their result that the minimum VMA incorporation based on asphalt film thickness can meet the minimum requirement of VMA. Therefore, AC20 is also acceptable from the point of VMA requirement. 18.00 17.00 16.00 15.00 14.00 13.00 12.00 11.00 10.00 5 10 15 20 25 30 N o m ina l M A xim um A ggre ga t e S ize ( m m ) 75 Gyrations 100 Gyrations Control Figure 4.11: Voids in mineral aggregate versus nominal maximum aggregate size As discussed in Section 4.4.2, higher Gmb implies a lower VMA in the mix. The trend of the VMA is totally opposite with the trend of the Gmb as discussed. Samples with 75 gyrations have higher VMA and this trend is seen to be constant for all the NMAS. This can be explained that with lesser compaction effort, more bitumen is needed to fill the voids in order to get 4±1% air voids. Therefore, the 61 OBC increases with the decrease in compactive effort and this is in line with the findings on OBC. 4.4.6 Voids Filled with Bitumen Looking at Figure 4.12, the NMAS has no significant impact on VFB of samples compacted to 100 gyrations as the line is almost parallel with x-axis and is well within the given range of 65-75%. However, not much can be said the same for samples compacted to 75 gyrations as VFB for AC10 and AC28 are relatively high. The computation of VFB is dependant on VMA and bitumen content. As put forth by Abdullah, Obaidat, and Abu-Sa’da (1998) the conclusion of Lees in 1987, air voids in mineral aggregates and voids filled with bitumen are merely physical parameters with no direct engineering significance. In the example given, it was mentioned that strength, flow, permeability to air, and permeability to water of two mixes of identical air voids may not necessarily identical. 80.00 75.00 70.00 65.00 60.00 5 10 15 20 25 30 N o m ina l M a xim um A ggre ga t e S ize ( m m ) 75 Gyrations 100 Gyrations Figure 4.12: Voids filled with bitumen versus nominal maximum aggregate size 62 4.4.7 Dust to Binder Ratio The dust to binder ratio recommended range is 0.6-1.2 (AASHTO, 2001). In this study, AC20 has difficulty falling in the given range. As discussed earlier, AC20 has more fine materials and dust, therefore, the ratio to binder will also be higher. From the point of compactive level, samples with 75 gyrations utilized more bitumen where as the dust content for the mix are the same. This increased the dust to binder ratio. When the ratio is relatively lower, a coarser mix will be obtained, thus increasing the VMA. The Asphalt Institute Manual Series No. 22 (1983) associated the workability problems with mineral filler. If the mix has a low mineral filler content, the pavement may experience tender mix or highly permeable. High mineral filler content may cause the mix to be dry or gummy, hard to handle, and not durable. 1.50 1.40 1.30 1.20 1.10 1.00 0.90 0.80 0.70 0.60 0.50 5 10 15 20 25 30 N o m ina l M a xim um A ggre ga t e S ize ( m m ) 75 Gyrations 100 Gyrations Figure 4.13: Dust to binder ratio versus nominal maximum aggregate size 4.5 Statistical Analysis Statistical analysis of the test results were performed using the Microsoft Excel Data Analysis. Paired t-tests were performed on all the data to see the 63 significance of the NMAS and the levels of compaction on the properties. The Pvalue approach is an aid in decision making. The P-values from the t-tests are summarized in Table 4.3. With a confidence level of 95%, the variables that have pvalues of less than 0.05 is said to be significantly related to each other. Table 4.3: Summary of statistical analysis, t-tests 75 & 100 Gyrations NMAS & Properties OBC Gmb TMD WA VMA VFB D:B Mean Value 75 100 Gyrations Gyrations 5.9 5.4 2.303 2.309 2.398 2.413 0.32 0.30 15.3 14.2 73.9 69.9 0.95 1.05 P-Value 75 Gyrations 0.033 0.014 0.014 0.010 0.289 0.001 0.011 100 Gyrations 0.029 0.014 0.014 0.010 0.232 0.000 0.012 P-Value 0.036 0.144 0.028 0.190 0.025 0.056 0.024 From the analyses, NMAS was found to have a significant relationship with all the properties except VMA for both level of compaction. Meanwhile, compaction effort has the effect on OBC, TMD, VMA, and D:B. As mentioned in the paragraph before, the VMA was found to be not significant with the variation of NMAS. established. The cause of it was not immediately The consideration of SGaggblend together with the percentage of aggregate by weight of total mix may have been the contributing factor towards the insignificancy. SGaggblend have taken into account the percentages of coarse and fine aggregates, and mineral filler at the earlier stage. Therefore, the sizes of the aggregates have been considered initially and the end results for VMA were not significantly impacted by the NMAS. Furthermore, there are different methods that could be used to determine the VMA. 64 4.6 Summary This chapter presented the results of the study and discussed the results in depth to give a better understanding of the properties of different NMAS. The properties included optimum bitumen content, bulk specific gravity, theoretical maximum density, water absorption, voids in mineral aggregate, voids filled with bitumen, and dust to binder ratio. All data were statistically analysed to see the significance of NMAS and levels of compaction on the properties. CHAPTER 5 CONCLUSIONS AND RECOMMENDATIONS 5.1 Conclusions The analyses presented in the Chapter 4 presents the pattern of the HMA mixes properties, which include optimum bitumen content, bulk specific gravity, theoretical maximum density, water absorption, voids in mineral aggregate, voids filled with bitumen, and dust to binder ratio. The following conclusions can be drawn from the study. 1. As the NMAS increases, the bitumen content and voids in mineral aggregate decrease. This is only true until the NMAS of 20mm where both properties showed an increase after the NMAS of 20mm. 2. The bulk specific gravity, theoretical maximum gravity, water absorption, and dust to binder ratio increases with the increment of NMAS and peaked at 20mm. 3. Voids filled with bitumen showed a different pattern where at 100 gyrations, the VFB is constant, and at 75 gyrations, the VFB is relatively higher at NMAS of 10mm and 28mm. 4. Statistical analysis indicated that NMAS had a very significant impact on the properties with the exception of VMA. 5. Different level of compaction (75 and 100 gyrations) gave the same trend. Analyses showed that OBC, TMD, VMA, and D:B are influenced by the level of compaction. 66 6. The recommended mix based on the properties behaviour is AC20 due to economical reason and the mix has achieved all the necessary requirements. 5.2 Recommendations From all the properties discussed, it was observed that all the properties are connected with each other. The foremost effect of NMAS is on the bitumen content. It was obvious that from this study, the bitumen content varies with the NMAS and is further influenced by the total surface area, which can be calculated from the aggregate gradation. It is suggested to further this study with variation in gradation and to look into the surface area. Apart from gradation, it will be good to research further on the effect of surface texture and the NMAS as surface area also contributes to the differences in results obtained. Surface texture may include the crushed and uncrushed aggregate. It is also recommended to continue this work with more sizes as the NMAS to really establish the effect of NMAS as this study only include four sizes with one gradation each. This may also be in collaboration with the work by Cooley, James, and Buchanan (2002) who developed the mix design criteria for 4.75mm mixes. REFERENCES Abdulah, W. S., Obaidat, M. T., and Abu-Sa’da, N. M. (1998). Influence of Aggregate Type and Gradation on Voids of Asphalt Concrete Pavement. Journal of Materials in Civil Engineering. Volume 10, No. 2: 76-85. American Association of State Highway and Transportation Officials (2000). 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AC10 Sample AC14 AC20 AC28 I II I II I II I II Mass Before Washing, g 1128.0 1128.0 1128.0 1128.0 1128.0 1128.0 1152.0 1152.0 Mass After Washing, g 1079.3 1076.0 1084.3 1086.1 1087.5 1090.0 1128.0 1131.1 Mass of Dust, g 48.7 52.0 43.7 41.9 40.5 38.0 24.0 20.9 Average, g 50.4 42.8 39.3 22.5 Percentage, % 4.5 3.8 3.5 1.9 Weight of Dust for 4600g, g 205.3 174.5 160.1 89.6 APPENDIX A: WASH SIEVE ANALYSIS Mix 72 73 APPENDIX B: SPECIFIC GRAVITY OF COARSE AGGREGATE Sample No. 1 2 3 Avg. Weight of oven dry specimen in air, A (g) 1045.3 1045.6 1044.5 1045.1 Weight of saturated surface dry specimen, B (g) 1056.9 1054.2 1053.7 1054.9 Weight of saturated specimen in water, C (g) 650.7 651.7 650.00 650.8 2.573 2.598 2.587 2.586 2.602 2.619 2.610 2.610 2.649 2.654 2.648 2.650 1.110 0.822 0.881 0.938 1. Bulk Specific Gravity, Gsb =A/(B-C) 2. Bulk SSD Specific Gravity, Gssd =B/(B-C) 3. Apparent Specific Gravity, Gsa =A/(A-C) 4. Water absorption (%) =100(B-A)/A 74 APPENDIX C: SPECIFIC GRAVITY OF FINE AGGREGATE Test No 1 2 3 Avg. Pycnometer Weight 280.7 281.4 294.1 285.4 Weight of oven dry material, A (g) 493.3 491.2 493.6 492.7 Weight of saturated surface dry aggregate , S (g) 500.2 500.4 501.1 500.6 Weight of Pycnometer filled with water, B (g) 875.5 877.1 878.4 877.0 1172.3 1184.7 1189.1 1182.0 2.425 2.548 2.592 2.522 2.459 2.595 2.632 2.562 2.510 2.675 2.699 2.628 1.399 1.873 1.519 1.597 Weight of Pycnometer with specimen and water to the calibration mark, C (g) 1. Bulk Specific Gravity, Gsb =A/(B+S-C) 2. Bulk SSD Specific Gravity, Gssd =S/(B+S-C) 3. Apparent Specific Gravity, Gsa =A/(A+B-C) 4. Water absorption (%) =100(S-A)/A AC10 BS Sieve Size, mm ^0.45 AC14 AC20 ACB28 LL Grad UP LL Grad UP LL Grad UP LL Grad UP 37.5 5.109 - - - - - - - - - 100 100 100 28.0 4.479 - - - - - - 100 100 100 90 95 100 20.0 3.850 - - - 100 100 100 76 94 100 72 85 90 14.0 3.279 100 100 100 90 93 100 64 80 89 58 70 76 10.0 2.818 90 95 100 76 79 86 56 72 81 48 56 64 5.0 2.063 58 65 72 50 56 62 46 58 71 30 36 46 3.35 1.723 48 56 64 40 47 54 32 49 58 24 28 40 1.18 1.077 22 27 40 18 23 34 20 33 42 14 17 28 0.425 0.680 12 15 26 12 14 24 12 22 28 8 10 20 0.150 0.426 6 10 14 6 10 14 6 12 16 4 5 10 0.075 0.312 4 6 8 4 6 8 4 6 8 3 4 7 APPENDIX D: AGGREGATE GRADATION Percentage Passing (by weight) Mix Design LL – Lower Limit Grad – Gradation 75 UP – Upper Limit TMD Values at Specificied % Bitumen Content =100 / [(%BC/Gb) + ((100BC)/Gse)] 1 2210.5 1393.7 3426.0 1215.5 2103.7 AC10 2 2210.8 1393.7 3425.8 1215.0 2101.8 Avg. 2210.7 1393.7 3425.9 1215.3 2102.8 2.405 2.397 2.401 1 2210.5 1393.7 3426.0 1215.5 2103.7 AC14 2 2210.8 1393.7 3425.8 1215.0 2101.8 Avg. 2210.7 1393.7 3425.9 1215.3 2102.8 2.405 2.397 2.401 6.0 1.03 2.628 2.619 1 2210.2 1392.5 4258.3 2048.1 2587.0 Avg. 2210.4 1392.5 4198.5 1988.1 2551.5 1 2394.7 1393.4 4797.1 2402.4 2812.1 2 2210.0 1393.0 4729.1 2519.1 2883.6 Avg. 2302.4 1393.2 4763.1 2460.8 2847.9 2.399 2.397 2.398 2.442 2.449 2.446 6.0 1.03 2.624 2.628 2.619 AC28 AC20 2 2210.6 1392.4 4138.7 1928.1 2516.0 5.5 1.03 2.624 Bit. Content TMD Values Bit. Content TMD Values 5.5 5.9 6.0 6.3 6.5 7.0 7.3 2.418 2.404 2.401 2.391 2.384 2.367 2.357 4.5 5.0 5.3 5.5 5.8 6.0 6.1 6.8 2.450 2.432 2.425 2.415 2.400 2.393 2.391 2.367 2.601 2.597 4.5 1.03 2.599 Bit. Content TMD Values 4.0 4.2 4.3 4.5 5.0 5.5 2.450 2.443 2.439 2.432 2.415 2.398 2.611 2.619 2.615 Bit. Content TMD Values 3.3 3.8 4.0 4.3 4.5 5.0 5.3 6.0 2.489 2.471 2.464 2.453 2.446 2.428 2.418 2.394 APPENDIX E: RESULTS OF THEORETICAL MAXIMUM DENSITY Mix Type Sample Number Weight of Bowl in Air, g (A) Weight of Bowl in Water, g (B) Weight of Bowl & Sample om Air, g (C) Weight of Sample, g (D) = C - A Weight of Bowl & Sample in Water, g (E) Maximum Specific Gravity of Mix, TMD (F) = D / (D+B-E) Bitumen Content of Mix, % (G) Specific Gravity of Bitumen, Gb (H) Effective Specific Gravity of Aggregate, Gse = (100-G) / [(100/F)-(G/H)] 76 Bitumen Content (%) 5.5 6.0 AC10 6.5 7.0 Verification 7.3 4.5 5.0 5.5 AC14 6.0 6.8 Verification 6.1 4.0 4.5 AC20 5.0 Verification 4.3 3.3 3.8 AC28 4.3 5.0 Final Height Wt Air Wt Water Wt SSD Water Absorption SG Bulk I II I II I II I II I II I II I II I II I II I II I II I II I II I II I II I II I II I II I II I II 120.7 120.6 120.4 120.1 119.5 119.4 121.4 120.9 119.0 118.0 119.6 119.2 119.4 120.1 118.7 119.1 119.6 119.6 117.0 119.6 120.7 118.7 117.1 115.0 113.9 114.2 113.7 113.5 114.7 113.7 121.7 120.5 121.0 121.4 119.3 122.1 113.6 113.6 120.0 119.2 4676.8 4660.0 4635.5 4681.8 4729.3 4702.8 4736.5 4709.3 4727.5 4701.4 4645.9 4652.1 4636.9 4663.8 4665.6 4663.8 4671.4 4665.4 4748.0 4689.3 4760.2 4675.7 4617.1 4611.6 4656.4 4649.3 4651.3 4671.1 4651.6 4623.8 4621.5 4650.4 4656.5 4661.3 4655.8 4673.0 4439.3 4454.8 4718.2 4709.2 2598.3 2591.0 2577.6 2612.2 2661.5 2641.3 2639.7 2617.8 2659.2 2653.9 2636.1 2641.8 2613.3 2638.4 2642.8 2638.4 2630.5 2625.1 2725.8 2641.6 2678.6 2638.6 2638.4 2636.4 2691.9 2681.3 2698.6 2719.2 2691.3 2676.8 2682.7 2701.4 2685.3 2681.1 2678.3 2672.0 2525.0 2528.5 2689.5 2688.0 4701.8 4689.8 4672.2 4697.8 4735.6 4711.5 4747.1 4719.5 4731.9 4709.5 4692.7 4696.1 4665.3 4687.5 4686.0 4687.5 4686.3 4680.5 4753.1 4701.1 4770.4 4688.3 4643.0 4640.5 4675.7 4665.6 4662.2 4681.4 4678.5 4647.4 4695.2 4722.9 4720.5 4723.6 4694.8 4723.8 4459.4 4483.1 4738.3 4724.5 0.53 0.64 0.79 0.34 0.13 0.18 0.22 0.22 0.09 0.17 1.01 0.95 0.61 0.51 0.44 0.51 0.32 0.32 0.11 0.25 0.21 0.27 0.56 0.63 0.41 0.35 0.23 0.22 0.58 0.51 1.59 1.56 1.37 1.34 0.84 1.09 0.45 0.64 0.43 0.32 2.223 2.220 2.213 2.245 2.280 2.272 2.248 2.241 2.281 2.287 2.259 2.265 2.260 2.276 2.283 2.276 2.272 2.270 2.342 2.277 2.276 2.281 2.303 2.301 2.347 2.343 2.369 2.381 2.341 2.346 2.296 2.300 2.288 2.282 2.309 2.278 2.295 2.279 2.303 2.312 Diff Average TMD VTM 0.003 2.222 2.418 8.11 0.032 2.229 2.401 7.17 OBC VMA VFB 17.73 54.23 17.90 59.97 7.3 0.009 2.276 2.384 4.53 16.62 72.71 0.007 2.244 2.367 5.20 18.22 71.46 -0.006 2.284 2.357 3.52 17.04 79.36 0.006 2.262 2.450 7.68 15.56 50.63 0.016 2.268 2.432 6.75 15.78 57.22 0.007 2.280 2.415 5.60 15.78 64.51 0.002 2.271 2.393 5.10 16.54 69.20 0.065 2.309 2.367 2.41 15.86 84.80 0.006 2.278 2.391 4.72 16.36 71.18 0.002 2.302 2.450 6.02 13.53 55.51 0.004 2.345 2.432 3.58 12.38 71.08 0.012 2.375 2.415 1.67 11.74 85.78 0.006 2.344 2.439 3.88 12.25 68.32 0.004 2.298 2.489 7.65 13.58 43.69 0.006 2.285 2.471 7.51 14.50 48.19 6.1 4.3 6.0 0.031 2.293 2.453 6.51 14.62 55.50 0.016 2.287 2.428 5.82 15.49 62.46 0.009 2.308 2.394 3.61 15.63 76.90 77 Verification 6.0 Sample APPENDIX F1: RESULTS OF PROPERTIES – 75 GYRATIONS Mix Type Bitumen Content (%) 5.5 5.9 AC10 6.0 6.5 Verification 6.3 4.5 5.0 5.0 AC14 5.3 5.5 Verification 5.8 4.0 4.5 AC20 5.0 5.5 Verification 4.2 3.3 4.0 4.3 AC28 4.5 Verification 5.3 I II I II I II I II I II I II I II I II I I I II I II I II I II I II I II I II I II I II I II I II I II I II Final Height 118.4 116.7 121.2 119.7 113.8 111.8 118.3 115.8 117.8 118.8 117.5 116.2 114.7 116.5 118.0 119.0 119.7 119.7 114.2 115.1 118.1 117.1 113.6 115.3 114.1 114.3 111.0 113.2 112.3 112.5 114.2 113.8 121.5 121.1 117.6 117.3 119.4 121.0 118.2 118.7 117.7 117.9 118.9 117.6 Wt Air 4632.7 4612.9 4687.7 4658.1 4520.6 4517.9 4876.2 4730.8 4678.6 4696.2 4633.4 4619.6 4678.9 4650.6 4660.4 4653.2 4704.3 4704.3 4628.8 4670.0 4669.5 4650.3 4606.6 4624.7 4664.7 4647.7 4634.1 4712.4 4641.4 4689.8 4665.9 4634.0 4635.1 4670.1 4694.8 4650.7 4664.2 4699.2 4685.5 4719.9 4663.9 4731.2 4722.1 4656.7 Wt Water 2587.0 2596.9 2605.3 2601.8 2554.0 2581.4 2810.9 2717.2 2633.6 2638.2 2640.5 2636.0 2699.4 2657.0 2638.6 2616.3 2642.2 2642.2 2661.2 2682.9 2636.0 2628.7 2660.7 2671.8 2710.5 2696.3 2714.7 2756.0 2709.0 2738.6 2707.4 2679.2 2681.9 2696.8 2727.0 2697.7 2668.7 2693.0 2702.4 2732.7 2694.0 2737.2 2706.6 2665.4 Wt SSD 4651.7 4624.8 4713.1 4675.2 4530.8 4524.1 4878.4 4733.7 4684.8 4703.2 4661.3 4640.9 4685.0 4669.3 4678.3 4678.5 4727.6 4727.6 4634.1 4675.1 4683.9 4659.9 4629.0 4653.6 4683.8 4658.0 4640.7 4719.7 4647.4 4696.7 4685.1 4655.8 4702.0 4736.4 4723.2 4676.2 4703.8 4737.1 4710.0 4740.6 4680.4 4745.2 4739.3 4671.7 Water Absorption 0.41 0.26 0.54 0.37 0.23 0.14 0.05 0.06 0.13 0.15 0.60 0.46 0.13 0.40 0.38 0.54 0.50 0.50 0.11 0.11 0.31 0.21 0.49 0.62 0.41 0.22 0.14 0.15 0.13 0.15 0.41 0.47 1.44 1.42 0.60 0.55 0.85 0.81 0.52 0.44 0.35 0.30 0.36 0.32 SG Bulk 2.244 2.275 2.224 2.247 2.287 2.326 2.359 2.346 2.281 2.274 2.293 2.304 2.356 2.311 2.285 2.256 2.256 2.256 2.346 2.344 2.280 2.289 2.340 2.334 2.364 2.369 2.406 2.400 2.394 2.395 2.359 2.344 2.294 2.290 2.352 2.351 2.292 2.299 2.334 2.351 2.348 2.356 2.323 2.321 Diff Average TMD VTM 0.031 2.259 2.418 6.57 0.023 2.235 2.404 7.06 OBC VMA VFB 16.34 59.82 17.58 59.86 6.30 0.039 2.306 2.401 3.95 15.05 73.77 0.012 2.352 2.384 1.33 13.82 90.37 0.007 2.278 2.391 4.73 16.38 71.13 0.011 2.299 2.450 6.18 14.19 56.42 0.045 2.334 2.432 4.04 13.33 69.69 0.028 2.271 2.432 6.40 15.71 59.24 0.000 2.256 2.425 6.67 16.49 59.55 0.002 2.345 2.415 2.89 13.36 78.36 0.009 2.285 2.400 4.80 15.86 69.75 0.007 2.337 2.450 4.60 12.23 62.38 0.005 2.367 2.432 2.70 11.58 76.70 5.8 4.2 0.006 2.403 2.415 0.50 10.69 95.33 -0.001 2.395 2.398 0.14 11.46 98.82 0.015 2.352 2.443 3.72 11.85 68.64 0.005 2.292 2.489 7.90 13.82 42.82 0.001 2.351 2.463 4.56 12.21 62.67 0.007 2.295 2.451 6.36 14.59 56.39 0.017 2.342 2.446 4.23 13.00 0.008 2.352 2.428 3.14 13.09 76.02 0.002 2.322 2.418 3.96 14.47 72.60 5.3 67.44 78 5.0 Sample APPENDIX F2: RESULTS OF PROPERTIES – 100 GYRATIONS Mix Type 79 APPENDIX F: SAMPLE CALCULATION OF SURFACE AREA Sample Calculation for AC20 Percent Passing Surface Area Sureface Area, (%) Factor, m2/kg m2/kg 28 100 0.41 0.41 20 94 14 80 10 72 5 58 0.41 0.2378 3.35 49 0.82 0.4018 1.18 33 1.64 0.5412 0.425 22 4.78 1.0516 0.15 12 12.29 1.4748 0.075 6 32.77 1.9662 Sieve Size, mm ∑ = 6.0834 80 APPENDIX H: SAMPLE CALCULATION OF VMA USING AVERAGE ASPHALT FILM THICKNESS OF 8μm Surface area = Percent Passing X Surface Area Factor = 72(0.41) + 58(0.41) + 49(0.82) + 33(1.64) + 22(4.78) + 12(12.29) + 6(32.77) = 6.08 m2/kg Specific Gravity of Asphalt = 1.03 Bulk Specific Gravity of Agrgegate = 2.571 Weight of effective asphalt binder = 6.08 m2/kg of aggregate X 8 X 10-6 m X 1.03 X 1000 kg/m3 = 0.0500992 Asphalt content by weight of total mix = 0.0500992 / (1+0.0500992) X 100 = 4.77% Volume of asphalt binder = 4.77 kg / (1.03 X 1000 kg/m3) = 0.004631 m3 Volume of aggregate = 95.75 kg / (2.556 x1000 kg/m3) = 0.037257m3 Total volume of mix with 4% air voids = (0.004631 + 0.037257) / 96 X 100 = 0.043633 Since volume of air = total volume of mix – volume of effective asphalt – volume of aggregate Volume of air = 0.0043633 – 0.004631 – 0.037257 = 0.001745 VMA = (0.001745 + 0.004631) / 0.043633 X 100 = 14.6% 81 APPENDIX I: PHOTOS OF LABORATORY WORKS Dry sieve Aggregates sieved into different sizes Aggregates being weighed Mix batched Aggregates and bitumen being manually Sample ready for short-term aging mixed 82 Sample being poured into The Superpave Gyratory Sample being put into the the mould Compactor SGC Compacted sample Sample being weighed in water during determination of bulk specific gravity of mix Theoretical maximum density apparatus