Abstract
As a completed decomposed product of granite rock, the granite residual soil widely distributes in South China with a special soil structure that can be easily damaged under external disturbance. Therefore, studying the evolution of soil cracks during the loading process is important for engineering practice that needs to evaluate the soil shear strength, such as slope stability analysis. The purpose of this study is to investigate the micro-structure for the intact granite residual soil under external loading base on X-ray computed tomography (CT) through global and local scanning (with resolutions of 180 µm and 26.7 µm, respectively). The micro-structural evolution of the cross-sections of soil column extracted from a granite residual soil layer under axial loading was investigated by CT scanning with a 0.5 mm slice thickness. The number of cracks (including macro-cracks and meso-cracks), area ratios and porosity corresponding to varying loading stages (initial, peak-stress and failure) were analyzed based on the cross-sectional CT images. Test results shows that the structure strength of the soil was mainly subject to macro-cracks. In addition, the increase of the porosity is mainly attributed to the generation and expansion of the cracks along sandy particle under external loading. This study can provide theoretical support and data support for understanding the micro-structural evolution of granite residual soil that is commonly encountered in civil engineering.
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02 June 2021
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References
Cortinajanuchs MG, Quintanilladominguez J, Vegacorona A, Tarquis AM, Andina D (2010) Detection of pore space in CT soil images using artificial neural networks. Biogeosciences 8(2):279–288, DOI: https://doi.org/10.5194/bg-8-279-2011
Elramly H, Morgenstern NR, Cruden DM (2005) Probabilistic assessment of stability of a cut slope in residual soil. Geotechnique 55(1):77–84, DOI: https://doi.org/10.1680/geot.2005.55.1.77
Houston AN, Schmidt S, Tarquis AM, Otten W, Baveye PC, Hapca SM (2013) Effect of scanning and image reconstruction settings in X-ray computed micro tomography on quality and segmentation of 3D soil images. Geoderma 207:154–165, DOI: https://doi.org/10.1016/j.geoderma.2013.05.017
Hu X, Li Z, Li X, Liu Y (2015) Influence of shrub encroachment on CT-measured soil macropore characteristics in the Inner Mongolia grassland of northern China. Soil & Tillage Research 150:1–9, DOI: https://doi.org/10.1016/j.still.2014.12.019
Hu X, Li Z, Li X, Liu L (2016) Quantification of soil macropores under alpine vegetation using computed tomography in the Qinghai Lake Watershed, NE Qinghai-Tibet Plateau. Geoderma 264:244–251, DOI: https://doi.org/10.1016/j.geoderma.2015.11.001
Hu X, Li XY, Li ZC, Liu LY (2020) 3-D soil macropore networks derived from X-ray tomography in an alpine meadow disturbed by plateau pikas in the Qinghai lake watershed, north-eastern Qinghai-Tibetan plateau. Journal of Soils and Sediments 20(4):2181–2191, DOI: https://doi.org/10.1007/S11368-019-02560-8
Iassonov P, Gebrenegus T, Tuller M (2009) Segmentation of X-ray computed tomography images of porous materials: A Crucial step for characterization and quantitative analysis of pore structures. Water Resources Research 45(9), DOI: https://doi.org/10.1029/2009WR008087
Katuwal S, Norgaard T, Moldrup P, Lamande M, Wildenschild D, De Jonge LW (2015) Linking air and water transport in intact soils to macropore characteristics inferred from X-ray computed tomography. Geoderma 237:9–20, DOI: https://doi.org/10.1016/j.geoderma.2014.08.006
Keshta A, Koop-Jakobsen K, Jürgen Titschack, Mueller P, Nolte S (2020) Ungrazed salt marsh has well connected soil pores and less dense sediment compared with grazed salt marsh: A CT scanning study. Estuarine Coastal and Shelf Science 245:106987, DOI: https://doi.org/10.1016/j.ecss.2020.106987
Kumar S, Anderson SH, Udawatta RP, Gantzer CJ (2010) CT-measured macropores as affected by agroforestry and grass buffers for grazed pasture systems. Agroforestry Systems 79(1):59–65, DOI: https://doi.org/10.1007/s10457-009-9264-4
Liao R, Yu H, Yang P, Lin H (2020) Quantitative evaluation of pore characteristics of sodic soils reclaimed by flue gas desulphurization gypsum using x-ray computed tomography. Land Degradation & Development 31:545–556, DOI: https://doi.org/10.1002/ldr.3446
Munkholm LJ, Heck RJ, Deen B (2012) Soil pore characteristics assessed from x-ray micro-ct derived images and correlations to soil friability. Geoderma 181–182:22–29, DOI: https://doi.org/10.1016/j.geoderma.2012.02.024
Ojeda-Maga AB, Quintanilla-Domínguez J, Ruelas R, Tarquis AM, Gómez-Barba L, Andina D (2014) Identification of pore spaces in 3D CT soil images using pfcm partitional clustering. Geoderma 217–218:90–101, DOI: https://doi.org/10.1016/j.geoderma.2013.11.005
Perret JS, Prasher SO, Kacimov AR (2003) Mass fractal dimension of soil macropores using computed tomography: From the box-counting to the cube-counting algorithm. European Journal of Soil Science 54(3):569–579, DOI: https://doi.org/10.1046/j.1365-2389.2003.00546.x
Pires LF, Auler AC, Roque WL, Mooney SJ (2020) X-ray microtomography analysis of soil pore structure dynamics under wetting and drying cycles. Geoderma 362:114103, DOI: https://doi.org/10.1016/j.geoderma.2019.114103
Rab MA, Haling RE, Aarons SR, Hannah M, Young IM, Gibson D (2014) Evaluation of X-ray computed tomography for quantifying macroporosity of loamy pasture soils. Geoderma 213:460–470, DOI: https://doi.org/10.1016/j.geoderma.2013.08.037
Rahardjo H, Aung KK, Leong EC, Rezaur RB (2004) Characteristics of residual soils in Singapore as formed by weathering. Engineering Geology 73(1):157–169, DOI: https://doi.org/10.1016/j.enggeo.2004.01.002
Rahardjo H, Satyanaga A, Leong EC, Ng YS, Pang HTC (2012) Variability of residual soil properties. Engineering Geology 141:124–140, DOI: https://doi.org/10.1016/j.enggeo.2012.05.009
Rasiah V, Aylmore LA (1998) Characterizing the changes in soil porosity by computed tomography and fractal dimension. Soil Science 163(3):203–211, DOI: https://doi.org/10.1097/00010694-199803000-00004
Schluter S, Weller U, Vogel H (2010) Segmentation of X-ray microtomography images of soil using gradient masks. Computers & Geosciences 36(10):1246–1251, DOI: https://doi.org/10.1016/j.cageo.2010.02.007
Tarquis AM, Heck RJ, Andina D, Alvarez A, Anton JM (2009) Pore network complexity and thresholding of 3D soil images. Ecological Complexity 6(3):230–239, DOI: https://doi.org/10.1016/j.ecocom.2009.05.010
Udawatta RP, Anderson SH (2008) CT-measured pore characteristics of surface and subsurface soils influenced by agroforestry and grass buffers. Geoderma 145(3):381–389, DOI: https://doi.org/10.1016/j.geoderma.2008.04.004
Udawatta RP, Gantzer CJ, Anderson SH, Garrett HE (2008) Agroforestry and grass buffer effects on pore characteristics measured by highresolution X-ray computed tomography. Soil Science Society of America Journal 72(2):295–304, DOI: https://doi.org/10.2136/sssaj2007.0057
Wang W, Kravchenko AN, Smucker AJM, Rivers ML (2011) Comparison of image segmentation methods in simulated 2D and 3D microtomographic images of soil aggregates. Geoderma 162(3–4): 231–241, DOI: https://doi.org/10.1016/j.geoderma.2011.01.006
Warner GS, Nieber JL, Moore ID, Geise RA (1989) Characterizing macropores in soil by computed tomography. Soil Science Society of America Journal 53(3):653–660, DOI: https://doi.org/10.2136/sssaj1989.03615995005300030001x
Wen T, Shao L, Guo X, Zhao Y (2020) Experimental investigations of the soil water retention curve under multiple drying-wetting cycles. Acta Geotechnica 15:3321–3326, DOI: https://doi.org/10.1007/s11440-020-00964-2
Wen T, Wang P, Shao L, Guo X (2021) Experimental investigations of soil shrinkage characteristics and their effects on the soil water characteristic curve. Engineering Geology 284(4):106035, DOI: https://doi.org/10.1016/j.enggeo.2021.106035
Wildenschild D, Sheppard AP (2013) X-ray imaging and analysis techniques for quantifying pore-scale structure and processes in subsurface porous medium systems. Advances in Water Resources 51:217–246, DOI: https://doi.org/10.1016/j.advwatres.2012.07.018
Zhang L, Ge K, Wang J, Zhao J, Song Y (2020a) Pore-scale investigation of permeability evolution during hydrate formation using a pore network model based on X-ray CT. Marine and Petroleum Geology 113:104157, DOI: https://doi.org/10.1016/j.marpetgeo.2019.104157
Zhang X, Liu X, Chen C, Kong L, Wang G (2020b) Engineering geology of residual soil derived from mudstone in Zimbabwe. Engineering Geology 277:105785, DOI: https://doi.org/10.1016/j.enggeo.2020.105785
Zhao Y, Wen T, Shao L, Chen R, Sun X, Huang L, Chen X (2020) Predicting hysteresis loops of the soil water characteristic curve from initial drying. Soil ence Society of America Journal 84(5): 1642–1649, DOI: https://doi.org/10.1002/saj2.20125
Zhao Y, Wen T, Sun X, Huang L, Chen R (2021) Effect of loading path on the mechanical properties of completely decomposed granite soil based on the multiscale method. Advances in Civil Engineering 2021(1–2):1–12, DOI: https://doi.org/10.1155/2021/6635768
Zhao Y, Yang H, Huang L, Chen R, Chen S, Liu S (2019) Mechanical behavior of intact completely decomposed granite soils along multistage loading-unloading path. Engineering Geology 260:105242, DOI: https://doi.org/10.1016/j.enggeo.2019.105242
Acknowledgments
This study was jointly sponsored by National Nature Science Foundation of China (No. 51978413, 51809172), Innovation Commission of Shenzhen Municipality (No. JCYJ20170811160740635, KQTD2018041218 1337494).
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Zhao, Y., Sun, X., Wen, T. et al. Micro-structural Evolution of Granite Residual Soil under External Loading Based on X-ray Micro-computed Tomography. KSCE J Civ Eng 25, 2836–2846 (2021). https://doi.org/10.1007/s12205-021-0803-5
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DOI: https://doi.org/10.1007/s12205-021-0803-5