Modelling, Simulation and Experimental Investigation of a Rammer Compactor Machine by ANDERS JÖNSSON Division of Computer Aided Design Luleå University of Technology SE-871 87 Luleå, Sweden and Department of Mechanical Engineering Blekinge Institute of Technology SE-371 79 Karlskrona, Sweden Karlskrona 2001 Acknowledgements This work was carried out at the Department of Mechanical Engineering, Blekinge Institute of Technology, Karlskrona, Sweden. It was supervised by Associate Professor Göran Broman. I wish to express my sincere appreciation to my supervisor. Working together with Göran Broman has been a grand privilege; his exemplary support and great knowledge will continue to influence me in all future work. I also wish to acknowledge my gratitude to Associate Professor Mikael Jonsson and Professor Annika Stensson at the Division of Computer Aided Design, Department of Mechanical Engineering, Luleå University of Technology, Luleå, Sweden. I would also like to thank all my colleagues and friends for valuable discussions and their support during this work. Working together with the staff of Svedala Compaction Equipment AB has been most inspiring. I would particularly like to thank Anders Engström for his support. The financial support from the Foundation of Knowledge and Competence Development in Sweden is gratefully acknowledged. And finally, I wish to express my thanks to my family – and particularly to my beloved life-companion, Louise. Anders Jönsson 2 Abstract This licentiate thesis considers the modelling, simulation and experimental investigation of a rammer compactor machine. The purpose is to develop an efficient and verified method for simulation of rammer compactor machines to be used in the product development process. The experience gained through this work is also intended to be useful for studying other types of dynamic compactor machines. Rammer compactor machines perform impact soil compaction. This is more efficient than static compaction. The machines are often used in places where a high degree of compaction is needed, and where the space for operation is limited. The complexity of this type of machine makes design optimisation through traditional prototype testing impractical. This has pointed to the need for a theoretical model and simulation procedure for predicting the dynamic behaviour of the machine. To be useful for optimisation the theoretical model and simulation procedure must be verified. By concurrently working with theoretical modelling, simulations, experimental verifications, and optimisation an efficient analysis support for product development is achieved. This co-ordination works both ways in an iterative manner: experimental investigations are used to verify theoretical models and simulations; and theoretical models and simulations are used to design good experiments. This Complete Approach concept enables better decisions to be made earlier on in the development process, resulting in a decrease in time-to-market and improved quality. In this thesis, the Complete Approach concept is applied to a rammer soil compactor machine. An introductory iteration is described. The good agreement between theoretical and experimental results indicates that the theoretical model and simulation procedure should prove useful in introductory optimisation studies. The thesis discusses reasons for the remaining discrepancy and suggests improvements in both the theoretical model and the experimental set-up for future iterations. Keywords: Soil Compaction, Non-linear Dynamics, Theoretical Modelling, Numerical Simulation, Experimental Verification, Complete Approach. 3 Thesis This thesis comprises an introductory part and the following papers. Paper A A. Jönsson, G. Broman & A. Engström, Modelling of a Soil Compaction Tamping Machine using Simulink, Proceedings of the MATLAB DSP Conference, Espoo, Finland, 1999. Paper B G. Broman & A. Jönsson, The Nonlinear Behavior of a Rammer Soil Compactor Machine, Proceedings of the EM2000 ASCE Fourteenth Engineering Mechanics Conference, Austin, Texas, 2000. Paper C A. Jönsson & G. Broman, Experimental Investigation of a Rammer Soil Compactor Machine on Linear Spring Foundation, Accepted to the NAFEMS 2001 World Conference, Como, Italy, 2001. 4 Contents 1 Introduction............................................................................................6 1.1 1.2 1.3 1.4 Compaction of Soil......................................................................6 Compactor Machines...................................................................7 Non-linear Dynamics...................................................................8 Product Development ..................................................................9 2 Aim and Scope of the Present Work ..................................................12 3 Summary of Papers..............................................................................15 3.1 3.2 3.3 Paper A ......................................................................................15 Paper B ......................................................................................15 Paper C ......................................................................................16 4 Conclusions...........................................................................................17 5 References .............................................................................................18 Enclosures Paper A A. Jönsson, G. Broman & A. Engström, Modelling of a Soil Compaction Tamping Machine using Simulink, Proceedings of the MATLAB DSP Conference, Espoo, Finland, 1999. Paper B G. Broman & A. Jönsson, The Nonlinear Behavior of a Rammer Soil Compactor Machine, Proceedings of the EM2000 ASCE Fourteenth Engineering Mechanics Conference, Austin, Texas, 2000. Paper C A. Jönsson & G. Broman, Experimental Investigation of a Rammer Soil Compactor Machine on Linear Spring Foundation, Accepted for the NAFEMS 2001 World Conference, Como, Italy, 2001. 5 1 Introduction 1.1 Compaction of Soil Soil has been used as a construction material since early civilisations for constructing roads, canals, embankments for dwellings and fortifications [1]. The knowledge of how to use the material was initially passed on from generation to generation by word of mouth. Later on, the written word became important as a means of increasing knowledge about soil properties and handling. The Dschou-Li, a book about the customs of the Dschou Dynasty written in China about 3000 B.C., contains instructions for the construction of roads and bridges [2]. The Ten Books on Architecture is one of the oldest purely technical texts describing soil-based construction. This text was written by the Roman engineer Vitruvius in the first century B.C. [3]. During the mid-1600s, France initiated a large civil engineering program for roads, canals and border fortification systems. This resulted in the first engineering school in Europe, Ecole des Ponts et Chaussées, established in Paris in 1747. This school was to influence all future scientific development in civil engineering. The building of railway lines at the beginning of the 1800s raised demands on the underlying structure and demonstrated the need for a scientific approach. During the first half of the 1900s, soil compaction tests and the relationship between density, moisture, strength, compressibility and other soil properties were studied and developed; see, for example, [4,5]. There have been major developments in construction equipment since the early days of civil engineering. In ancient times, humans and animals were used for compaction and hauling. Developments were rapid during the industrial revolution; and in 1859, M. Louis Lemoine of Bordeaux, France, was granted a patent for a steamroller. In 1906, a patent was issued for a socalled sheep foot roller, which increased the efficiency of soil compaction. Compaction was limited to the surface layer because it was believed that the fill would settle by itself. 6 The evolution of the infrastructure brought about by mainroads during the 1920s resulted in the use of higher embankments. The latter required the fill to be compacted from the ground to the surface. This necessitated larger and heavier compaction equipment with a higher capacity. 1.2 Compactor Machines Compactor machines are designed to consolidate earth and paving materials to sustain loads greater than those sustained where there is no compaction. The machines range in size from small hand-held tampers to large machines weighing more than 50 tons. Static loading for compaction is an old technique. To make the compaction more effective many machines include vibratory action so that compaction is achieved by impact force rather than sheer weight; see, for example, [6-11]. All early works focused on experimental investigations. This is not sufficient, however, to support an efficient product development process. For more extensive parameter studies, theoretical models are also needed. Theoretical modelling of soils and compactor machines started to appear in the 1950’s [12-14]. By using modern computers for simulations, it is possible to simulate more complex behaviours [15-19]. Most of the simulations performed during the last decades have focused on vibratory rollers. Published descriptions of measurements on rammer compactor machines are rare. In 1963, Borchert [20] made some measurements on large rammer compactors. Filz and Brandon [21] performed force measurements on a rammer compactor in 1993. The design of compactor machines now concentrates to a high degree on modifications of established designs to increase speed, efficiency, accuracy, and operator comfort and safety. An introductory optimisation study of a rammer compactor machine has been performed by Broman et al. [22]. The need for civil engineering equipment is still an important feature of modern society since major changes occur in the infrastructure all the time. Most civil engineering projects have high associated costs. This means that an increase in efficiency during the construction phase is usually highly advantageous from an economical point of view. 7 1.3 Non-linear Dynamics The classical study of a mechanical system often starts with the use of Newton’s Law F=ma. For the three centuries after the publication of Newton’s Principia in 1687 (a reproduction in Swedish can be found in [23]) it was believed that the behaviour of every system described by particles could be predicted indefinitely if their initial conditions were known. However, it has also been recognised for some time that complex systems exist that cannot be studied deterministically, for example, turbulent flow. The problem is the large number of degrees of freedom, and the complexity of the relationships between the particles. Systems with different kinds of non-linearities have also proved difficult to simulate due to the problem of finding analytical solutions. The introduction of fast computers has recently increased the study of nonlinear systems. These studies have revealed that even very simple systems can exhibit highly complex behaviour that cannot be predicted far into the future. Such motions have been labelled chaotic. Their topicality value as a research area is increasing with the growing capacity of computer simulations. In current publications, chaotic is defined as the motions in deterministic systems whose time history has a sensitive dependence on initial conditions [24]. Some examples of systems known to exhibit chaotic vibrations are: systems with sliding friction, non-linear acoustic systems, feedback control devices, flow-induced problems, and mechanical systems with play or backlash. Impact compactor machines are included in the last group. Broman and Jönsson have proved that the rammer machine of this work is capable of exhibiting chaotic behaviour; see paper B. The study of non-linear systems is often more complicated than that of linear systems; and the intuition gained from many years of studies of linear systems can often be misleading when it comes to studying non-linear systems. Understanding non-linear systems places greater demands on the underlying theoretical knowledge of the system when doing simulations since the system is often sensitive to parameter changes. By slightly changing a parameter value, completely different behaviour can be produced; such is not 8 the case for linear systems. Ignoring non-linearities will in some cases give a completely false description of the real system. 1.4 Product Development High quality, low price and short time-to-market are essential aspects of the modern manufacturing industry. Customer requirements are rising at the same time as the products are becoming more and more complex. Suggestions for a successful product development process can be found widely in a large number of publications; see, for example, [25-27]. Although there is a great variety of strategies, a common conclusion is that changes in product design introduced late in the product development process are extremely costly and should be avoided. The paradox of the design process is that knowledge about the problem and its potential solutions is gained throughout the process and, conversely, design freedom is lost as the project proceeds. This is demonstrated schematically in figure 1. 100 Knowledge about the design problem Per cent Design freedom 0 Time into design process Figure 1. The design process paradox, reproduced from [25]. During the design process, design decisions constrain the design, as illustrated by the “Design freedom” curve. The “Knowledge about the design problem” curve is a learning curve for the problem. It is obvious that the learning curve should be as steep as possible so that maximum knowledge 9 about the problem is obtained as early as possible in the design process, while the freedom of design is still large. Modern simulation techniques enable one to test many different design concepts early on in the design process. Of course, simulation procedures must be verified in some way if they are to be useful as a basis for design decisions. At the Department of Mechanical Engineering at Blekinge Institute of Technology, a concept for modelling, simulation, verification, and optimisation has been implemented in both research and education; see figure 2. Simulation Theoretical Modelling Project Coordination Experimental Verification Optimisation (Re)designing Market Changes New Technology New/Modified Product Figure 2. Complete Approach for analysis support in product development. In short, theoretical models describing interesting product characteristics are developed. The models are used for simulations. Adjustments are made between the modelling and simulation parts until the simulation yields reasonable results. The simulations are then verified experimentally. Theoretical models and simulations are also used to design good experiments. This process is repeated until good agreement is achieved between theoretical and experimental results. 10 Simulation of the theoretical models can then be used as an effective tool for optimisation in the product development process. Should optimisation entail design changes that significantly change the relevance of the assumptions of the theoretical models, the entire procedure is repeated. In this way, increasingly detailed descriptions of the product are created where necessary alongside development of the product. The Complete Approach enables better decisions to be made earlier on in the development process, resulting in decreased time-to-market and improved quality. When a completely new product is developed, a number of complete iterations are usually needed. When a new variant of a product is developed, much prior work can be re-used. The Complete Approach concept gives the company a framework with which to structure such experience. 11 2 Aim and Scope of the Present Work The aim of this work is an efficient and verified method for simulating rammer compactor machines to be used in the product development process. The experience gained should also be useful in studying other types of dynamic compactor machines. The complexity of the machine makes design optimisation through traditional prototype testing impractical. This has pointed to the need for a theoretical model and simulation procedure for prediction of the dynamic behaviour of the machine as well as for a procedure for optimisation. In this work, a model of a rammer compactor machine is described. The model is used for simulations. The simulation results are compared with measured results. The rammer compactor machine LT70 from Svedala Compaction Equipment AB, Karlskrona, Sweden, is studied. Many other manufacturers and models of rammer compactor machines exist. All such machines are basically designed in the same way. A sketch of the machine showing the main parts is presented in figure 3. Cam disc Engine Engine house Connecting rod Cylinder Piston Foot Soil Figure 3. Principal sketch of a rammer soil compactor machine. 12 Although the mechanism seems to be rather simple, the machine conceals considerable inherent complexity. Descriptions of the soil and the interaction between the machine and the soil are also non-trivial problems. To make efficient simulations, simplifications must be made. The simplified model used in this work is shown in figure 4. All assumptions, simplifications and notations are described in the enclosed papers. M u3 Engine m3 , J r Piston m2 φ u2 ci ki u1 Foot m1 Soil cs Replacement ks Figure 4. Theoretical model of the rammer machine and soil replacement. The most questionable simplification of the combined system is the representation of the soil as a linear spring and a viscous damper. However, since the aim of the present work is an efficient model of the machine itself, this simplification is justifiable. Parallel work is currently being carried out to find better soil models. Combining the machine model suggested in this work with other soil models should not present any major difficulties. 13 The dynamic system is non-linear due to the angle of the cam disc and the jumping behaviour, which makes it hard to solve the equations analytically. Standard ordinary differential equation solvers in Matlab and Simulink are used for the simulations. 14 3 Summary of Papers The three papers included in this thesis represent a description of how to work iteratively with modelling, simulations and measurements. 3.1 Paper A In this paper, a theoretical model for the dynamic behaviour of a rammer compactor machine is described, and a simulation procedure is established. The model was suggested by Moshin [14] and has been applied also in papers B, C and [28-30]. The soil is modelled by a linear spring and a viscous damper. In this paper the foot of the machine and the soil replacement are not allowed to lose contact with each other. In contrast to earlier works on compactor machines of this kind [12, 14, 28], the equations of motion are solved numerically for an arbitrary time period in this work. This also makes it possible to study the transient and non-harmonic behaviour of the machine, and to reach a steady state. The Matlab toolbox Simulink is used to solve the equations of motion. Experimental results from [28], where the rammer compactor machine was run on simulated soil material, are used for a preliminary verification. The agreement between the simulation and the experiment is good, which implies that the level of detail in the theoretical model is sufficient for further studies. 3.2 Paper B In this paper, the complexity of the theoretical model used in paper A is increased by allowing the foot of the machine to lose contact with the soil replacement. The contact conditions between the foot of the machine and the soil replacement are investigated and described. The simulation procedure is complemented by these conditions. The differential equations of the model are solved numerically by using Matlab. The dynamic behaviour is analysed for different driving torque values. Simulation results are presented as time series, phase plane diagrams, mappings and bifurcation diagrams. The results show that the system is highly non-linear and indicate that harmonic, subharmonic and chaotic behaviour are present within the parameter variations used. This phenomenon has also been observed while operating the machine under real-life conditions. The parameter sensitivity emphasises the need to include such simulations in the product development process. 15 3.3 Paper C In this paper, the theoretical model of paper A is thoroughly investigated experimentally, and the resulting introductory iteration of the Complete Approach concept is described. In the experimental set-up, the rammer foot is attached to a linear spring foundation. This eliminates uncertainties associated with soil modelling, and makes possible a check of the model of the machine itself. The good agreement between theoretical and experimental results indicates that the theoretical model and simulation procedure are potentially useful in introductory optimisation studies. Possible reasons for the remaining discrepancy are discussed, and suggestions are given for improvements in both the theoretical model and the experimental set-up for coming iterations. 16 4 Conclusions In this work an efficient and verified method for simulation of a rammer compactor machine is presented. The method has been developed by using a structural approach called Complete Approach, which includes theoretical modelling, simulation, experimental verification, and optimisation. In this way, a deeper understanding of the system has been gained. The results of the simulations and the measurements deviate by approximately ten per cent; a highly satisfactory result considering the complexity of the machine studied, and the significant simplifications introduced. The presented model and simulation procedure constitute a useful support in product development of compactor machines. Although there is good agreement between simulation results and experimental results, suggestions for improvements in both the theoretical model and the experimental set-up have been given, and additional work in the future is recommended. Suggested improvements relate primarily to the modelling of internal dissipation. In the present model, all internal dissipation is represented by a viscous damper between the foot and the piston of the machine. It is sometimes possible to estimate an equivalent damping constant, giving the same dissipated energy per cycle as the combined friction and viscous dissipation that are present in reality. Since the friction dissipation seems to be significant compared to the truly viscous dissipation in this machine, a new equivalent damping constant must be estimated for each new operating condition. Considering this, the theoretical model can be improved by including a friction element between the foot and the piston. If necessary, stiffness, damping and friction between the foot and the house can also be included. The experimental set-up can be improved by adding a damper to the soil replacement foundation to produce a closer resemblance to real operating conditions. It is also recommended that a more sophisticated theoretical model of the soil is introduced, which includes the non-linear behaviour of real soil materials. 17 5 References 1 WEBER, W. G. Jr., History of Embankment Construction, State of the Art Report 8, Transportation Research Board, National Research Council, Washington, D.C., 1990. 2 SPECK, A., Der Kunststrassenbau, Ernst, Berlin, 1950. 3 GRANGER, F., Translation of Vitruvius’ Architechture, Putnam, New York, N.Y., 1934. 4 PROCTOR, R. R., Fundamental Principles of Soil Compaction, Engineering News Record, Vol. 111, No. 9, pp. 245-248, 1933. 5 HOGENTOLER, C. 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BROMAN, Dynamic Characteristics of a Soil Compaction Tamping Machine, Presented at the Swedish Days of Mechanics 1999, Royal Institute of Technology, Stockholm, Sweden, 1999. 20 30 ARBIN, U., T. ENGLUND and J. WALL, Modelling and Optimising a Rammer Soil Compactor Machine, Master Thesis, Department of Mechanical Engineering, Blekinge Institute of Technology, Karlskrona, Sweden, 2000. 21 Paper A Modelling of a Soil Compaction Tamping Machine using Simulink 22 Paper B The Nonlinear Behavior of a Rammer Soil Compactor Machine 23 Paper C Experimental Investigation of a Rammer Soil Compactor Machine on Linear Spring Foundation 24