See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/332536893 Three-dimensional characterization of desiccation cracking behavior of compacted clayey soil using X-ray computed tomography Article in Engineering Geology · April 2019 DOI: 10.1016/j.enggeo.2019.04.014 CITATIONS READS 85 765 6 authors, including: Chao-Sheng Tang Cheng Zhu Nanjing University Rowan University 232 PUBLICATIONS 8,710 CITATIONS 88 PUBLICATIONS 1,489 CITATIONS SEE PROFILE SEE PROFILE Bin Shi Qing Cheng Nanjing University Nanjing University 445 PUBLICATIONS 13,366 CITATIONS 60 PUBLICATIONS 1,342 CITATIONS SEE PROFILE All content following this page was uploaded by Chao-Sheng Tang on 25 April 2019. The user has requested enhancement of the downloaded file. SEE PROFILE 1 This is a pre-accepted version, please cite this paper: 2 3 4 Tang, C.S., Zhu, C., Leng, T., Shi, B., Cheng, Q. and Zeng, H., 2019. Three-dimensional characterization of 5 https://www.sciencedirect.com/science/article/pii/S0013795218321136 desiccation cracking behavior of compacted clayey soil using X-ray computed tomography. Engineering Geology. 255, 1-10. doi.org/10.1016/j.enggeo.2019.04.014 6 7 8 https://doi.org/10.1016/j.enggeo.2019.04.014 9 10 If you need the published version for personal study only, please send 11 email to: tangchaosheng@nju.edu.cn 12 1 13 Three-dimensional characterization of desiccation cracking 14 behavior of compacted clayey soil using X-ray computed 15 tomography 16 17 Chao-Sheng Tang*1, Cheng Zhu2, Ting Leng3, Bin Shi4, Qing Cheng5, Hao Zeng6 18 1. School of Earth Sciences and Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing 19 210023, China. E-mail: tangchaosheng@nju.edu.cn 20 2. Department of Civil and Environmental Engineering, Rowan University, 201 Mullica Hill Road, 21 Glassboro, New Jersey 08028, USA. E-mail: zhuc@rowan.edu 22 3. School of Earth Sciences and Engineering, Nanjing University, 163 Xianlin Road, Nanjing 23 210023, China. E-mail: nju_langting16@163.com 24 4. School of Earth Sciences and Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing 25 210023, China. E-mail: shibin@nju.edu.cn 26 5. School of Earth Sciences and Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing 27 210023, China. E-mail: chengqing@nju.edu.cn 28 6. School of Earth Sciences and Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing 29 210023, China. E-mail: MG1729094@nju.edu.cn 30 31 32 *Corresponding author: 33 Chao-Sheng Tang 34 Professor at Nanjing University 35 E-mail: tangchaosheng@nju.edu.cn 2 1 Abstract: The shrinkage potential of clayey soils dominates their volumetric deformation and 2 microscopic cracking behavior during desiccation processes and has profound practical 3 consequences. To investigate the evolution of desiccation crack network in the compacted clayey 4 soil, we apply a noninvasive approach integrating X-ray computed tomography (CT) and digital 5 image processing technique. Representative geometrical parameters including soil mass area, 6 shrinkage strain, crack ratio, average crack width, total crack length, and crack segment number are 7 acquired from image analysis results to quantify the morphological evolution of desiccation crack 8 patterns. Experimental observations show that cracks initiate at surface, propagate both laterally and 9 downward into the soil body, and transit into massive networks due to coalescence and bifurcation. 10 Quantitative analyses reveal the strong dependence of geometrical parameters on water loss through 11 evaporation. The shrinkage and cracking potential of the clayey soil specimen attenuate with the 12 decreasing water content, which significantly reduces the growing trend of geometrical parameters 13 during the posterior stage of desiccation. The spatial variation of crack network evolutions under 14 drying results from intrinsic soil microstructural heterogeneity and suction capillary-induced local 15 stress intensity. The proposed integrated approach is of great significance to characterize 16 three-dimensional soil desiccation crack patterns and brings new perspectives into the study of the 17 hydro-mechanical behavior of clayey soils. 18 Keywords: desiccation crack, compacted clayey soil, X-ray computed tomography (CT), 19 quantitative analysis, image process, shrinkage behavior 3 20 1. Introduction 21 Clay-rich soils exhibit significant volumetric deformation when exposed to water content changes. 22 The presence of clay minerals such as montmorillonite contribute to the intrinsic high swelling 23 potential and low hydraulic conductivity and make clayey soils a favorable choice in waste 24 containment as a buffer and backfill materials (Qu et al., 2002; Ye et al., 2011; Tripathy et al., 2015; 25 Villar et al., 2018). However, the resulting development of desiccation cracks in clayey soils under 26 dry and heated conditions may considerably alter their mechanical and hydraulic performance 27 (Corte and Higashi, 1960; Tang et al., 2011a; Costa et al., 2012; Sanchez et al., 2013; Zhang et al., 28 2016). These may cause negative impacts on the integrity of geotechnical facilities, the mitigation 29 of geo-environmental problems, and the stability and serviceability of earth structures (Rodrí guez et 30 al., 2007; Tang et al., 2008; Peron et al., 2009; Lakshmikantha et al., 2012; Li et al., 2017; Ledesma 31 et al., 2018). The formation of desiccation cracks reduces the mechanical strength and increases the 32 compressibility of soil, resulting in potential structure tilt and cracking (Morris et al., 1992; An et al., 33 2018). The hydraulic conductivity of cracked soils increases by orders of magnitude, compared to 34 that of intact soil (Albrecht and Benson, 2001; Wang et al., 2016), which weakens the functionality 35 and sealing effect of impervious barrier layers used for geotechnical facilities such as landfill lining 36 system and nuclear waste repository. Moreover, desiccation cracks create preferential pathways for 37 rainwater infiltration, which further deepens the infiltration depth and accelerates soil instabilities, 38 resulting in landslide and other geo-hazards (Yao et al, 2001; Tang et al., 2011b; Wang et al., 2018). 39 Therefore, the study of crack initiation and propagation in soil due to drying is crucial to the 40 fundamental understanding of desiccated soil behaviors. 41 In the past decades, investigations on the desiccation cracking behavior of soil have been carried 42 out through a number of observational tools such as optical microscope (Shin and Santamarina, 4 43 2011), electron microscope (Wang et al., 2015), and digital camera (Tang et al., 2008; Tollenaar et 44 al., 2017). To study the underlying mechanisms of crack formation, digitizing the crack pattern and 45 performing quantitative assessment become important. Recent development of computer science 46 and digital image processing techniques provides a solid technical support for such purposes (Tang 47 et al., 2008; Li et al., 2010; Li et al., 2011; Tollenaar et al., 2017; Wang et al., 2018). A set of 48 geometric and morphological parameters (e.g., surface crack ratio, number of nodes, crack length, 49 crack wide, crack density, clod area and number of clods) was proposed to quantify the evolving 50 desiccation crack patterns. However, most previous research efforts were dedicated to 51 two-dimensional analyses of surface desiccation crack networks, with limited attention paid to the 52 characterization of three-dimensional crack networks. The initiation and propagation process of 53 desiccation cracks below the soil surface remains unclear. Poor understanding of the internal 54 cracking process or three-dimensional crack characteristics would hinder the accurate evaluation of 55 the hydro-mechanical behavior of soil. 56 To overcome the intrinsic disadvantages of two-dimensional microstructural characterizations, 57 various three-dimensional evaluations have been applied to explore the full soil structure. 58 Comparing to other three-dimensional characterization techniques such as laser scan (Sanchez et al., 59 2013) and electrical resistivity tomography (Jones et al., 2014; Tang et al., 2018), X-ray computed 60 tomography (CT) is an effective and nondestructive technique that allows high-resolution 61 visualization of the internal structure of objects (Mees et al., 2003). This visualization captures the 62 density contrast of the object, made possible by emitting X-ray beams, letting them penetrate the 63 object along multiple directions, and measuring the progressive attenuation (Phillips et al., 1997; 64 Robert et al., 2006). The first computed tomography scanner was designed and set up by electronics 65 engineer G. N. Hounsfield from EMI company in 1972. It was originally introduced to the field of 5 66 medical radiology (Hounsfield, 1973) and then applied as a new technique to study other materials. 67 In the field of soil science and geology, Petrovic et al. (1982) conducted a pioneering X-ray 68 CT-based study and revealed the linear relationship between soil bulk density and X-ray attenuation. 69 Since then, the past few decades have witnessed extensive applications of X-ray CT in 70 characterizing geological materials. Researchers first examined the correlation between X-ray 71 energy level and the relative attenuation of X-ray passing through soil minerals (Carlson et al. 2000; 72 Van Geet et al. 2000; Heck and Elliot, 2006). The significant difference between attenuated X-ray 73 passing through soil pores and soil solids enables the application of X-ray CT in the quantification 74 of porous soil microstructure. X-ray CT-based research have been carried out to study the 75 volumetric and geometrical characteristics of the pore and crack networks in soil, such as porosity 76 (Anderson et al. 1990), pore diameter (Peython et al. 1992), perimeter and area (Gravers et al. 1989), 77 circularity (Gantzer et al. 2002), and crack network density (Perret et al. 1999). Given the 78 increasing concern in the morphological analyses for crack networks, researchers have worked on 79 the numerical density of crack networks and connectivity (Perret et al., 1999) and the exploration of 80 pore objects and their links through a series of quantification models (Delerue et al., 2003). Cracks 81 initiate, propagate and coalesce in soil during various physical processes, resulting in a complicated 82 cracking network. The imaging features of X-ray CT technique enable qualitative descriptions of 83 crack networks, which provides new insights into soil microstructural changes and underlying 84 failure mechanisms. For instance, the innovative experimental setup that integrates X-ray CT scan 85 and mechanical tests such as triaxial compression or bending tests has been applied to investigate 86 the dynamic deformation and structure damage process of soils (Chen et al., 2006; Mukunoki, 2014; 87 Otani et al., 2014; Wang et al., 2009). Although X-ray CT technique has been widely applied in 88 studying soil mechanical behaviors, integrated qualitative and quantitative investigations on soil 6 89 desiccation cracking processes remain scarce. 90 The objective of this research is to systematically characterize the spatiotemporal evolution of 91 desiccation cracks in compacted clayey soil based on X-ray computed tomography. We performed 92 seven scans during the desiccation process and resorted to laboratory-owned image analysis tools to 93 quantify geometrical crack parameters. The structure of this paper is organized as follows. Section 2 94 introduces the testing material and methodology of this research. Section 3 presents the CT scan 95 results and discusses both qualitative and quantitative analysis results. Section 4 summarizes major 96 findings in this study and points out future research directions. 97 98 2. Materials and Methods 99 2.1 Materials 100 The physical and mechanical properties of the soil collected from Nanjing China are summarized in 101 Table 1. According to the USCS classification, it is a fat clay (CH) (ASTM, 2011). The 102 mineralogical composition of the clay component is dominated by interstratified illite (about 74%) 103 and montmorillonite (about 18%). 104 105 2.2 Specimen preparation 106 Natural soil retrieved from the field was oven-dried, crushed and sieved through a 2-mm mesh sieve 107 in the laboratory. The soil powder was first homogeneously mixed with water to reach an initial 108 water content of 25% and then sealed in an air-proofed plastic bag for 48 hours to allow a uniform 109 distribution of moisture within the soil. 25% water content is chosen to ensure a relatively 110 homogeneous state of soil mixture and fabric. If water content is insufficient, it would be 111 experimentally difficult to reach the homogeneous state. Soil compacted at a relatively low water 7 112 content level usually presents an aggregated structure, whereas soil compacted at a relatively high 113 water content level presents a homogeneous structure (Delage et al., 1996). After homogenization, 114 the required mass of moist soil was placed in the mold of 50 mm inner diameter and statically 115 compacted to the target dry density ο²d = 1.3 Mg/m3. The final height of each sample was 100 mm, 116 compacted through four equal layers with each layer 25 mm thick. Compacted samples in molds 117 were submerged in water for one week under confined condition. Filter paper and porous stone 118 were placed at both ends to provide solid support while allowing free passage of water (Fig. 1). A 119 vacuum pump was connected to the container to facilitate the saturation process. To access the 120 degree of saturation, we monitored the formation of air bubbles from the soil body during the 121 vacuum process. The soil specimen was considered fully saturated if no air escaped from the 122 container after 4 hours. We calculated the degree of saturation based on the measurement of water 123 content. After full saturation, the measured water content of the specimen was about 42.5%. 124 125 2.3 Apparatus 126 The basic principle of X-ray CT is to measure the progressive attenuation of X-ray due to 127 absorption and scattering when the beam penetrates a sample situated in its pathway. The X-ray CT 128 scanner (Somatom Sensation 40, manufactured by Siemens Corporation) located in the Yangtze 129 River Scientific Research Institute of China was utilized. This apparatus consists of an X-ray source 130 that moves along the entire circumference of a 70-cm-diameter circle at 0.37s per cycle in tilt of 131 +/-30°and emits X-rays towards the soil object positioned at the center of the circle and an array of 132 X-ray detectors that is opposite to the source and collects attenuated X-ray beams. The data 133 acquisition system contains 40 slices per-rotation, 1344 channels per slice and 4640 projections per 134 360°. The scanner resolution is 0.06 mm/pixel at a tube voltage of 140 kV and a tube current of 500 8 135 mAv (Table 2). The raw X-ray intensity projections captured by those detectors were processed by 136 CT reconstruction software in the CT scanning system to produce the 3D structure of soil. 137 138 2.4 Test procedures 139 After saturation, the specimen was taken out from the container and oven dried at a constant 140 temperature of 30 °C. During drying, it was taken out for X-ray CT scanning at different time 141 intervals. We scanned the specimen seven times in total, one under initially saturated state as the 142 reference scenario, one immediately after surficial crack initiation (after about 5 hours drying), and 143 five others after another 2, 4, 9, 14 and 24 hours respectively. Before each scanning, we weighed the 144 specimen to determine its accumulated water loss and present water content, and measured 145 geometrical properties such as diameter and height (Table 3). Note that a total of four positions 146 were measured and the average values of diameter and height were used. The spatial heterogenous 147 distribution of water content throughout the specimen can be captured through the evolution of local 148 cracks. CT scan generates a set of raw data, with each corresponding to a stack of 2D slices along 149 the longitudinal direction. Each slice has a thickness of 0.06 mm and contains 512 × 512 pixels 150 with a pixel size of 0.147 × 0.147 mm. The voxel size of the resulting 3D reconstruction was 151 0.001 mm3. 152 153 2.5 CT image processing 154 To achieve more accurate visualization and characterization of desiccation cracking pattern based 155 on CT results, we resorted to an integrated image processing tool – CIAS, which was developed in 156 our previous study (Tang et al., 2008). It is equipped with various functions such as graying, 157 binarization, noise reduction, and morphological analysis and allowing simultaneous processing of 9 158 multi-slice stack. User-defined functions in CIAS enhances its capabilities of crack recognition and 159 quantitative assessment. During image processing, we transformed the stack of grey scale 2D slice 160 images (Fig. 2 (a)) into binary ones (Fig. 2 (b)) (white pixels represent soil mass, and black pixels 161 inside the white area represent cracks), extracted the cracking network, and performed quantitative 162 analysis on the crack skeleton (Fig. 2 (c)) and crack segments (Fig. 2 (d)). 163 In order to quantify the crack patterns, the following parameters are calculated for each slice of 164 CT images: (1) The area of soil mass Asm (in mm2). It is calculated by the total number of white 165 pixel as illustrated in Fig. 2 (b) and the physical resolution (e.g. one pixels per 0.147 mm) of the CT 166 images. (2) The soil mass shrinkage ratio Ssm, defined as follows: 167 ππ π = (π΄π π−0 − π΄π π−π ) ∗ 100/π΄π π−0 (1) 168 where Asm-0 is the original area of soil mass determined from the first CT scanning sequence (w = 169 42.5%) and corresponds to the bulk mass including water, pores, and soil solids. Asm-n is the area of 170 soil mass determined from the subsequent CT scanning sequence n (n = 2,3,4,5,6 and 7, Table 3). 171 Note that the concept of soil mass in this study accounts for both soil solids and pores. (3) The crack 172 ratio Rc, defined as the ratio of crack area to the total area of each slice. In general, Rc reflects the 173 extent of cracking in soil. (4) Average crack width wav. The crack width is determined by calculating 174 the shortest distance from a stochastic point on one boundary to the opposite boundary of a crack 175 segment. In this investigation, a total of 2000 stochastic points are selected from each crack pattern. 176 (5) Total crack length ltot. It is determined by counting the total number of black pixels after the 177 image is skeletonized, as shown in Fig. 2 (c). (6) Number of crack segments Sn. The elements 178 between two adjacent intersections are defined as one crack segment. The structure of the crack 179 network can be decomposed into a series of crack segments that connect with each other, as 180 indicated by different colors in Fig. 2 (d). All these processes can be operated automatically using 10 181 CIAS, with more details available in Tang et al. (2008). To the best of our knowledge, the area of 182 soil mass Asm and soil mass shrinkage ratio Ssm were first introduced in this study to describe the 183 crack patterns in soil CT images. The variables of crack ratio Rc, average crack width wav, total 184 crack length ltot and the number of crack segments Sn were first defined by Tang et al. (2008). 185 186 3. Results and Discussion 187 3.1 CT scanning of soil desiccation cracking 188 During the oven-drying process, desiccation cracks initiate, propagate and coalescence in the 189 cylindrical soil matrix. Seven CT scanning sequences conducted at different water contents (Table 3) 190 capture the evolving crack pattern: (1) middle horizontal profile of the specimen at 5 cm depth (Fig. 191 3); (2) middle vertical profile of the specimen (Fig. 4); (3) 3D reconstruction of the specimen 192 structure (Fig. 5). The originally saturated specimen (the 1st scan) was intact, verified by the 193 observations in both 2D (Figs. 3 (a) and 4 (a)) and 3D (Fig. 5 (a)) conditions. When water content 194 decreases from 42.5% to 37.3%, several preliminary single cracks initiate on sample surface. While 195 surficial observation was not able to reveal crack propagation orientation (Fig. 5 (b)), X-ray CT 196 indicated that most preliminary cracks propagated perpendicularly from the circumference of each 197 slice towards the inner core (Figs. 3 (b) and 4 (b)). Water evaporation before crack initiation 198 induced only 5.2% water content decrease (Table 3). With the ongoing drying and the gradual loss 199 of water, cracks propagated and widened, in directions deviated from previous orthogonal path 200 (Figs. 3 (c) and 4 (c)). Continual desiccation aggravated the growth and the deviation tendency of 201 those cracks, and even caused bifurcations at some crack tips, observed both inside the soil matrix 202 (Figs. 3 (d) and 4 (d)) and on the soil-air interface (Fig. 5 (d)). Comparing to those primary cracks 203 that first initiated at the edge and then propagated towards the center of each slice, secondary cracks 11 204 were branches of primary cracks and contributed predominantly to the development of the internal 205 crack network (Figs. 3 (e) and 4 (e)). These secondary cracks initiated at a depth of about 1-1.5 cm 206 from specimen surface, and they gradually connected to each other from both lateral and 207 longitudinal directions. As a consequence of the increasing damage, the soil specimen lost its 208 original cylindrical shape and formed a more anisotropic structure (Figs. 3 (f), 4 (f) and 5 (f)). 209 Toward the end of drying, extensive internal and external cracking was observed, with crack 210 skeleton and geometrical characteristics shown in Figs. 3 (g), 4 (g) and 5 (g). A slight crack 211 narrowing can be observed from the 7th scan. This is attributed to the overall volumetric shrinkage, 212 resulting in significant reduction of average specimen height from 99.34 mm to 93.84 mm and 213 average specimen diameter from 49.92 mm to 46.92 mm (Table 3). It is also noted that most cracks 214 are limited to the external zone with a thickness of about 1-1.5 cm, whereas the inner soil body 215 remains intact. If the specimen size and thickness increase, different desiccation cracking behaviors 216 may appear, as reflected by the crack formation time and final crack pattern. This size effect has 217 been investigated in many previous studies, such as Rodrí guez et al. (2007) and Lakshmikantha et 218 al. (2012). This originates from two main factors: Thicker specimens will make it more difficult for 219 cracks to propagate deep into the soil body, since it takes time for enough suction to build up inside 220 the soil body. Larger specimens possess more structural heterogeneities, which contributes to the 221 possibility of having more local stress concentrations and the ultimate formation of a complex crack 222 network. For a given soil thickness, geometrical characteristics of the crack pattern would finally 223 reach a relatively equilibrium state with the increasing soil surface area. 224 225 3.2 Quantitative CT image analysis 226 Based on CT scan results, we carried out quantitative analysis on the spatiotemporal evolution of 12 227 desiccation cracking pattern, characterized by the geometrical parameters introduced in Section 2.5 228 (Fig. 6). Geometrical parameters obtained from those slice images provided a new insight into the 229 cracking network within the soil matrix, which was advantageous over the traditional 2D analysis 230 based on surficial cracks only. Area of soil mass Asm generally decreased with water content and 231 transited from relatively uniform to highly fluctuated profile due to crack-induced inhomogeneity 232 (Fig. 6(a)). The spatial distribution of soil mass shrinkage ratio Ssm indicated a general trend that 233 soil volume decreased more at both ends (Fig. 6 (b)). In early stage when soil water content was 234 above 25.0% (scanning 1-4), we observed an overall increasing trend in all geometrical parameters 235 of desiccation cracks throughout the overall specimen depth, especially within the upper part from 5 236 to 35 mm and lower part from 65 to 85 mm (Figs. 6 (c)-6 (f)). The spikes in the soil mass shrinkage 237 ratio Ssm, crack ratio Rc, average crack width wav, total crack length ltot, and number of crack 238 segments Sn profiles (Figs. 5 (b-f)) within the depths of 5-35 mm and 65-85 mm are due to the rapid 239 growth of local lateral cracks, as observed from the specimen surface (Fig. 7) as well as internal 240 profiles (Fig. 4). In the presence of crack coalescence, the increasing trends of all parameters were 241 significantly perturbed when the water content was less than 25.0%. Partial profiles of these 242 parameters obtained at the water content of 15.6% even lie below the previous scanning results, 243 implying a significant contribution of local shrinkage and crack closure within the sample. This is 244 consistent with our previous observations through the middle vertical profile (Fig. 4 (g)) and the 3D 245 reconstructed soil structure (Fig. 5 (g)). 246 247 3.3 Drying induced cracking behavior 248 Water evaporation plays an important role in the onset and growth of cracks during soil desiccation 249 processes. The continual removal of evaporated water yields the formation of water-air meniscus 13 250 among clay particles and the capillary suction in the external layer of the particles. The capillary 251 suction and effective stress between clay particles increase with desiccation, resulting in soil 252 consolidation and shrinkage. As soil possesses a heterogeneous fabric conditioned by mineralogical 253 composition, boundary and environmental factors, cracks are prone to initiate at surface defects 254 where accumulating suction induced tensile stress exceeds soil tensile strength first. This interprets 255 the phenomenon that cracks usually initiated on the surface and propagated towards the inner soil 256 body. 257 We calculated the spatial average values of crack geometrical parameters, including crack ratio, 258 average crack width, total crack length, number of crack segments and crack area over the specimen 259 height, and compared their evolutions with the decreasing water content (Fig. 8). These parameters 260 showed highly similar trends that they increased significantly with decreasing water content from 261 42.5% to 25.0% and then decreased slightly afterwards. This implies that clayey soils tend to crack 262 more easily at high water content and the shrinkage and cracking potential attenuate with decreasing 263 water content. Previous study on clayey soil also leads to similar observations that crack 264 development is more active at relatively high water content range (Tang et al., 2011b; Cao et. al, 265 2014). The formation of desiccation cracking pattern associated with crack initiation, propagation 266 and coalescence contributed predominantly to the increase of all geometrical parameters in the first 267 six scanning. Nevertheless, these curves declined past the 6th scanning at water content of 25.0%, 268 which could be originated from two major factors, the gradual stabilization of cracking pattern and 269 the closure of desiccation cracks due to extensive soil volumetric shrinkage. More details about the 270 volumetric shrinkage characteristics will be discussed in the following sections. 271 272 3.4 CT scan-based volumetric shrinkage assessment 14 273 The volumetric shrinkage and the ensuing cracks in clayey soil are closely related to the amount of 274 clay minerals and their strong hydrophilicity. The hydration film covering clay particle surface gets 275 thinner during soil desiccation. The consequent buildup of capillary suction decreases the film 276 thickness, reduces the inter-particle pore space, and rearranges the particle fabric, reflected as 277 overall volume reduction at macroscopic scale. Increasing clay content especially montmorillonite 278 significantly adds to such shrinkage behavior of soil (Kleppe et al., 1985; Volgel et al., 2005; Tay et 279 al., 2011). As the dominated clay compositions of the tested soil are montmorillonite and illite, 280 strong volumetric shrinkage behavior was observed during the desiccation process. In this study, we 281 adopted three approaches to calculate soil volume, which enables assessing shrinkage 282 characteristics from different perspectives. The first approach estimates the soil bulk volume Vb 283 directly from geometric measurements of diameter and height (Table 3). The second approach 284 integrates the volume in each CT image slice to find the bulk volume Vb-CT. As the slice thickness is 285 0.6 mm, soil volume in each slice can be obtained as the product of cross-sectional area (Fig. 3) 286 times the slice thickness. Unlike the first two approaches targeting bulk volume, the third one 287 focuses on the soil mass volume Vs-CT, calculated as the product of soil mass area Asm (Fig. 6 (a)) 288 times slice thickness. We know that volumetric shrinkage in soil provides space for the formation of 289 cracks in a given domain (Tang et. al, 2010a). CT scan results indicated that cracks initiated after 290 the 1st scan. Separating crack volume from soil mass volume is necessary for the better 291 understanding of soil volumetric shrinkage. 292 Fig. 9 (a) presents the change of bulk and soil mass volume with respect to water content π€ 293 using three approaches. When π€ = 42.5% and soil remained undamaged, three approaches led to 294 the same volume, validating the calculation of soil volume from CT data. As π€ decreased, volume 295 results estimated from three approaches exhibited large deviations. Comparing the calculation of 15 296 bulk volumes from Vb and Vb-CT, Vb was consistently higher. Note that both Vb and Vb-CT showed 297 only minor reductions when π€ decreased from 42.5% to 25.0%. This slow-decreasing trend is 298 primarily produced by the opening of cracks that compensates drying-induced volumetric shrinkage 299 (Fig. 8). Interestingly, although massive cracks developed in the soil body, the macroscopic 300 geometry of the specimen stayed almost unchanged (Table 3), implying that most cracks resulted 301 from local volumetric shrinkage. Diameter and height presented in Table 3 are average of multiple 302 measurements from different external locations. As the cylindrical shape was distorted during 303 cracking, convex deformation was observed at parts of external boundaries, causing higher 304 measurement results in Vb than Vb-CT. Beyond the threshold of π€ = 25.0% , soil volume 305 experienced significant shrinkage as indicated by the rapid decrease of Vb and Vb-CT. The 306 contraction of crack space due to volumetric shrinkage led to decreasing crack parameters in Fig. 8. 307 On the contrary, Vs-CT decreased monotonically with water content, reflecting an expected denser 308 soil fabric during drying. Therefore, taking crack space into account yields a more reliable and 309 accurate volumetric assessment for cracked soils, without which the shrinkage potential of the soil 310 would be significantly underestimated. Fig. 9 (b) depicts the volumetric shrinkage strain evolution 311 derived from three approaches. Using ο₯s-CT as a reference, ο₯b and ο₯b-CT neglected crack volume 312 change and thus underestimated the overall volumetric shrinkage, up to 90% and 73% at π€ = 313 25.0%, respectively. The underestimation increased with decreasing water content and increasing 314 crack amount in soil. These comparisons highlight the significance of the proposed technique that 315 integrates CT scan and digital image processing, which plays a key role in quantifying 3D cracking 316 features and enhancing the reliability and accuracy in soil shrinkage analyses. 317 Soil shrinkage characteristic curve (SSCC), correlating void ratio and water content in soil, has 318 been used extensively to characterize soil shrinkage properties (Groenevelt and Grant, 2004; 16 319 Cornelis et al., 2006; Krisdani et al., 2008). For natural soils, a typical SSCC can be decomposed 320 into four stages (Stirk, 1954): structure shrinkage, normal shrinkage, residual shrinkage, and zero 321 shrinkage. Structure shrinkage covers the duration when the decreased soil volume is less than the 322 volume of water loss. Transition from structure shrinkage into normal shrinkage occurs when the 323 reduced volume of soil becomes the same as the volume of water loss. During normal shrinkage 324 stage, soil is usually saturated. The stage of residual shrinkage begins with the air entry into pore 325 space, where soil transfers from saturated to unsaturated state. Once the water content reaches the 326 shrinkage limit of soil, further desiccation will not alter the pore volume, which can be 327 characterized as the zero shrinkage stage (Cornelis et al., 2006; Krisdani et al., 2008). In this study, 328 we calculated void ratio e and degree of saturation Sr through: 329 330 π= πΊπ ππ −πΆπ (1+0.01π€) ππ = π π€πΊπ π (2) (3) 331 in which π is soil weight (Table 3), πΊπ = 2.71 (Table 1), and Vs-CT is soil mass volume (Fig. 9a). 332 The variations of soil void ratio and degree of saturation during desiccation are shown in Fig. 10. 333 When water content was higher than 25.0%, void ratio decreased linearly, while degree of 334 saturation was close to 100%, implying a normal shrinkage stage for the soil sample. The 335 phenomenon that soil remained saturated with the decreasing water content can be attributed to the 336 high shrinkage potential of the clayey soil. During drying, the reduction in water content was 337 compensated by the shrinkage of soil volume before the water content was smaller than 25%. The 338 sample reached residual shrinkage stage when water content decreased to 15.6% and degree of 339 saturation decreased to 82.2%. Since no data was collected in the ranges of π€ = 15.6 − 25.0% 340 and π€ < 15.6%, this study did not predict air entry threshold or shrinkage limit. The slight 341 fluctuation of the degree of saturation trend in Fig. 10 originates from the calculation of soil mass 17 342 volume Vs-CT using CT data, which can be minimized through higher-resolution X-ray scan. 343 344 3.5 Advantages and limitations of X-ray CT scan 345 X-ray computed tomography is a very useful tool in visualizing and characterizing the internal 346 structures of porous media. In this study, this technique was able to reveal microstructural changes 347 inside the soil body during drying, provide qualitative characterizations of the cracking process, and 348 enable quantitative assessment of soil volume changes. In addition to 3D volumetric investigations 349 discussed in this study, CT scan has great potentials in characterizing the spatial evolution of other 350 soil physical properties during desiccation, such as dry density and the degree of saturation. CT 351 scan provides a solid support to the quantitative analysis of internal microscopic crack propagation 352 and soil structure heterogeneity, and is vital to the accurate assessment of macroscopic soil 353 hydromechnical properties including permeability, compressibility and strength. 354 However, its performance could be considerably undermined by poor quality images containing 355 artifacts such as star-artifacts, beam-hardening and ring-artifacts, resulting in false prediction of the 356 object’s actual composition and big challenge for quantitative analysis (Alramahi et al., 2006). The 357 geometry of the scanned objects and the surrounding materials and their density contrast have a 358 great impact on the quality of the CT images. Beam hardening effect and partial volume should be 359 considered to ensure the accuracy of CT images. Higher X-ray intensity or micro-focus X-ray tubes 360 can improve the quality of CT images. However, high-resolution systems are more applicable to 361 smaller samples, e.g. <2 mm diameter for a 5-μm resolution in micro-focus CT scans (Mees et al, 362 2003), which imposes a strong limitation for larger scale characterizations. 363 364 4. Conclusions 18 365 The formation of desiccation cracks is a natural phenomenon in clay-rich soils subjected to drying. 366 Characterization of the damaged soil structure is critical to the integrity of geotechnical facilities, 367 mitigation of geo-environmental problems, and the stability and serviceability of earth structures. In 368 this study, we investigated the three dimensional desiccation cracking behavior of compacted clayey 369 soil using X-ray Computed Tomography. We resorted to an integrated image processing tool - CIAS 370 that was equipped with an integrated set of functions to process CT image stacks, reconstruct 371 three-dimensional soil structure, and quantify cracked soil structural evolutions. 2D cross-sectional 372 views and 3D porous structures produced at different moments were evaluated to track the 373 formation and development of desiccation crack pattern in the soil specimen. The spatiotemporal 374 evolutions of crack geometrical parameters including crack ratio, crack width, total crack length and 375 number of crack segments were correlated with continual water loss and volumetric shrinkage 376 processes. The following conclusions can be drawn: 377 (1) X-ray CT scan provides qualitative insights into the development of desiccation crack pattern 378 in the drying soil specimen. Cracks initiate at surface first and propagate both laterally and 379 downward into the soil body along an approximately orthogonal direction to the soil-air interface. 380 The propagation path gradually deviates as a result of the heterogeneous soil microstructure and 381 local stress intensity resulting from evaporation-induced suction capillary. Massive growth and 382 propagation of desiccation cracks cause crack coalescence and bifurcation during the latter stage, 383 resulting in aggravated destruction of the soil structure. 384 (2) Area of soil mass in each slice image decreased with time and transited from relatively 385 uniform to highly fluctuated profile due to crack-induced structural inhomogeneity. The spatial 386 distribution of soil shrinkage revealed larger volume reduction at the two ends of the specimen. 387 Across the specimen depth, the temporally growing trends of other geometrical parameters 19 388 including crack ratio, average crack width, total crack length and number of crack segments were 389 maintained first before significantly perturbed in the presence of crack coalescence. 390 (3) Clayey soils tend to crack more easily at relatively high water content and the shrinkage and 391 cracking potential attenuate with decreasing water content. The increasing rates of geometrical 392 crack pattern parameters were consistently higher during the early stage of water evaporation, and 393 decreased substantially afterwards with the continual loss of water. 394 (4) The volumetric shrinkage and the ensuing cracks in clayey soil are closely related to the 395 amount of clay minerals and their strong hydrophilicity. The volumetric shrinkage process 396 experienced by the tested specimen can be recognized as normal shrinkage followed by residual 397 shrinkage. 398 (5) Quantitative analyses reveal the strong dependence of crack network parameters on specimen 399 depth during sustained desiccation process, and also highlight the importance of accounting for 400 cracks in the assessment of soil shrinkage behavior and other physical properties. 401 X-ray CT is proved to be an efficient and nondestructive technique for 3D desiccation crack 402 characterization in fine-grained soils. The proposed integrated approach based on X-ray CT and 403 image processing technique is of great significance to quantify the desiccation cracking behavior 404 inside soils and brings new perspectives into the study of the hydro-mechanical behavior of soils. 405 However, its performance could be considerably undermined by poor image quality or low density 406 contrast, resulting in false prediction of the object’s actual composition and big challenge for 407 quantitative analysis. Prospective study will focus on developing advanced CT image processing 408 techniques and using 3D surface reconstruction and 3D voxel reconstruction of CT images for 409 quantitative crack characterization to improve the fundamental understanding of desiccation 410 processes in soils. 20 411 412 Acknowledgement 413 This work was supported by National Natural Science Foundation of China (Grant No. 414 41572246, 41772280, 41322019), Natural Science Foundation of Jiangsu Province 415 (BK20171228, BK20170394), Key Project of National Natural Science Foundation of China 416 (Grant No. 41230636), and the Fundamental Research Funds for the Central Universities. 21 1 References 2 AI-Taie, A., Disfanic, M.M., Evansa, R., Arulrajaha, A., Horpibulsuk, S., 2016. Swell-Shrink 3 4 5 Cycles of Lime Stabilized Expansive Subgrade. Procedia Engineering, 143, 615-622 Albrecht, B.A., Benson, C.H., 2001. Effect of desiccation on compacted natural clay. 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Applied Clay Sciences. 124, 1-10. 214 215 31 216 Tables 217 Table 1 Physical and mechanical properties of the clayey soil tested in this study. 218 Table 2 Configuration features of the X-ray CT scanner used in this study. 219 Table 3 Geometrical parameters and water content of the sample measured during each scanning. 220 32 221 Table 1 Physical and mechanical properties of the clayey soil tested in this study. Soil properties Specific gravity Consistency limit Liquid limit (%) Plastic limit (%) Plasticity index (%) USCS classification Compaction study Maximum dry density (Mg/m3) Optimum moisture content (%) Values 2.71 76.2 29.1 47.1 CH 1.69 18.3 222 223 33 224 Table 2 Configuration features of the X-ray CT scanner used in this study. Features Place of origin Manufacturer Aperture Tilt Rotational Speed Detector Data Acquisition System Acquisition Mode Power of X-ray Generator Tube Voltage Tube Current Resolution Details Germany Siemens 70 cm +/-30° 0.37s Adaption Array Detector based on UFCTM with 26880 elements in 40 rows 40 slices per rotation, 1344 channels per slice, 4640 projections per 360° 40*0.6 (0.6) 70kW 140kv 500mA 0.06 mm/pixel 225 226 34 227 Table 3 Geometrical parameters and water content of the sample measured during each scanning. Scanning sequence 1st 2nd 3rd 4th 5th 6th 7th Weight m (g) 353.24 350.15 347.89 341.99 329.52 318.98 294.88 Diameter D (mm) 50 49.76 49.84 49.68 49.83 49.92 46.92 Height (mm) 100 100.28 100.44 100.14 99.88 99.34 93.84 Water content w (%) 42.5 37.3 36.4 34.1 29.2 25.0 15.6 228 35 229 Figure captions 230 Fig. 1 Schematic view of the cylindrical soil specimen under saturated conditions. 231 Fig. 2 Procedure of CT image processing, (a) original CT image; (b) binary image; (c) crack 232 skeleton; (d) crack segments. 233 Fig. 3 X-ray CT scan of cracking pattern at the middle horizontal profile of the specimen when 234 water content is (a) 42.5%; (b) 37.3%; (c) 36.4%; (d) 34.1%; (e) 29.2%; (f) 25.0%; (g) 15.6%. 235 Fig. 4 X-ray CT scan of typical cracking pattern at the middle vertical profile of the specimen when 236 water content is (a) 42.5%; (b) 37.3%; (c) 36.4%; (d) 34.1%; (e) 29.2%; (f) 25.0%; (g) 15.6%. 237 Fig. 5 Three dimensional reconstruction of the soil specimen during desiccation when water content 238 is (a) 42.5%; (b) 37.3%; (c) 36.4%; (d) 34.1%; (e) 29.2%; (f) 25.0%; (g) 15.6%. 239 Fig. 6 The spatiotemporal evolution of quantitative crack parameters along the longitudinal 240 direction of the soil specimen during desiccation: (a) area of soil mass; (b) soil mass shrinkage ratio; 241 (c) crack ratio; (d) average crack width; (e) total crack length; (f) number of crack segments. 242 Fig. 7 Spatial distribution of cracks along the longitudinal direction of the soil specimen at water 243 content of 29.2%. 244 .Fig. 8 The evolution of averaged quantitative crack parameters along the longitudinal direction 245 during desiccation. 246 Fig.9 Volume parameters estimated from geometrical measurement and X-ray CT results: (a) 247 specimen volume; (b) volumetric shrinkage strain. 248 Fig. 10 Variation of soil void ratio and degree of saturation during desiccation. 249 36 250 Figures porous stone saturation container sample 100 mm porous stone 251 252 50 mm Fig. 1 Schematic view of the cylindrical soil specimen under saturated conditions. 253 37 254 (a) 255 (b) (c) (d) 1 cm 256 Fig. 2 Procedure of CT image processing: (a) original CT image; (b) binary image; (c) crack 257 skeleton; (d) crack segments. 258 38 (a) (b) (c) (d) 1 cm (e) (f) (g) 259 260 Fig. 3 X-ray CT scan of cracking pattern at the middle horizontal profile of the specimen when 261 water content is (a) 42.5%; (b) 37.3%; (c) 36.4%; (d) 34.1%; (e) 29.2%; (f) 25.0%; (g) 15.6%. 262 39 263 (b) (a) (c) (d) (e) (f) (g) 1 cm 264 265 Fig. 4 X-ray CT scan of typical cracking pattern at the middle vertical profile of the specimen when 266 water content is (a) 42.5%; (b) 37.3%; (c) 36.4%; (d) 34.1%; (e) 29.2%; (f) 25.0%; (g) 15.6%. 40 (b) (a) (c) (d) (e) (f) (g) 1 cm 267 268 Fig. 5 Three dimensional reconstruction of the soil specimen during desiccation when water content 269 is (a) 42.5%; (b) 37.3%; (c) 36.4%; (d) 34.1%; (e) 29.2%; (f) 25.0%; (g) 15.6%. 270 271 41 (a) 1400 0 1500 Area of soil mass Asm, mm 1600 1700 2 1800 1900 4 2000 (b) 272 Depth d, mm Depth d, mm 20 40 60 6 100 (c) 8 10 12 14 16 18 20 22 24 0.0 26 0 0.4 0.8 Area of soil mass Asm, mm 40 1500 1600 60 Depth d, mm Depth d, mm 20 (a) 16 18 20 22 24 26 w= 37.3%, t=5h w= 36.4%, t=7h w= 34.1%, t=9h w= 29.2%, t=14h w= 25.0%, t=19h w= 15.6%, t=29h 0 w= 37.3%, t=5h w= 36.4%, t=7h w= 34.1%, t=9h w= 29.2%, t=14h 20 w= 25.0%, t=19h w= 15.6%, t=29h (d) 1400 0 14 Average crack width wav, mm Crack ratio Rc 6 12 60 100 4 10 w= 42.5%, t=0h w= 37.3%, t=5h w= 36.4%, t=7h 20= 34.1%, t=9h w w= 29.2%, t=14h w= 25.0%, t=19h w= 15.6%, t=29h 40 80 2 Soil mass shrinkage ratio Ssm 0 80 0 8 1.2 1.6 2.0 2.4 w= 37.3%, t=5h w= 36.4%, t=7h w= 34.1%, t=9h w= 29.2%, t=14h w= 25.0%, t=19h w= 15.6%, t=29h 2 40 1700 1800 1900 2000 w= 42.5%, t=0h w= 37.3%, t=5h w= 36.4%, t=7h w= 34.1%, t=9h w= 29.2%, t=14h w= 25.0%, t=19h w= 15.6%, t=29h 60 80 80 20 273 100 100 Total crack length ltot, mm 0 Depth d, mm 20 40 60 80 40 100 0 (f) 60 40 60 Number of crack segments Sn 120 140 160 180 200 220 240 260 Depth d, mmn (e) 20 Depth d, mm 0 80 80 10 20 30 40 50 0 w= 37.3%, t=5h w= 36.4%, t=7h w= 34.1%, t=9h w= 29.2%, t=14h 20 w= 25.0%, t=19h w= 15.6%, t=29h w= 37.3%, t=5h w= 36.4%, t=7h w= 34.1%, t=9h w= 29.2%, t=14h w= 25.0%, t=19h w= 15.6%, t=29h 40 60 80 100 274 275 100 100 w= 42.5%, t=0h w= 37.3%, t=5h w= 36.4%, t=7h w= 34.1%, t=9h w= 29.2%, t=14h w= 25.0%, t=19h w= 15.6%, t=29h 276 Fig. 6 The spatiotemporal evolution of quantitative crack parameters along the longitudinal 277 direction of the soil specimen during desiccation: (a) area of soil mass; (b) soil mass shrinkage ratio; 278 (c) crack ratio; (d) average crack width; (e) total crack length; (f) number of crack segments. 42 1cm 2cm 3cm 4cm 5cm 6cm 7cm 8cm 9cm 279 280 Fig. 7 Spatial distribution of cracks along the longitudinal direction of the soil specimen at water 281 content of 29.2%. 282 43 180 16 320 14 280 12 240 10 200 8 160 12 8 4 0 100 80 60 40 1.2 0.8 0.4 Crack ratio Rc, % 4 Total crack length ltot, mm 120 Average crack width wav, mm 80 Number of creak segment Sn 2 Crack area Ac, mm 2 20 0 6 Crack area Ac, mm 16 120 Average crack width wav, mm 20 140 Total crack length ltot, mm Number of creak segment Sn 24 Crack ratio Rc, % 1.6 160 2 28 0.0 40 0 15 20 25 30 35 40 0 45 Water content w, % 283 284 Fig. 8 The evolution of averaged quantitative crack parameters along the longitudinal direction 285 during desiccation. 286 44 200 (a) 190 Volume, mm 3 180 170 160 150 Total bulk volume Vb by geometrical measurement Total bulk volume Vb-CT by CT calculation 140 Total soil mass volume Vs-CT by CT calculation 15 20 25 30 35 40 45 Water content w, % 287 288 30 Volumetric shrinkage ο₯b determined by Vb (b) Volumetric shrinkage ο₯b-CT determined by Vb-CT Volumetric shrinkage ο₯s-CT determined by Vs-CT Volumetric shrinakge strain, % 25 20 15 10 5 0 15 289 20 25 30 35 40 45 Water content w, % 290 Fig.9 Volume parameters estimated from geometrical measurement and X-ray CT results: (a) 291 specimen volume; (b) volumetric shrinkage strain. 45 1.2 105 1.1 Void ratio e 1.0 95 0.9 0.8 90 0.7 Degree of saturation Sr Void ratio e Sketch trend line Sketch trend line 0.6 0.5 15 20 25 30 35 40 85 Degree of saturation Sr, % 100 80 45 292 Water content w, % 293 Fig. 10 Variation of soil void ratio and degree of saturation during desiccation. 294 46 View publication stats