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Numerical investigations on mechanical characteristics and failure mechanism of outwash deposits based on random meso-structures using discrete element method

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Abstract

Outwash deposit is a unique type of geological materials, and its features such as heterogeneity, discontinuity and nonlinearity determine the complexity of mechanical characteristics and failure mechanism. In this work, random meso-structure of outwash deposits was constructed by the technique of computer random simulation based on characteristics of its meso-structure in the statistical sense and some simplifications, and a series of large direct shear tests on numerical samples of outwash deposits with stone contents of 15%, 30%, 45% and 60% were conducted using the discrete element method to further investigate its mechanical characteristics and failure mechanism under external load. The results show that the deformation characteristics and shear strength of outwash deposits are to some extent improved with the increase of stone content, and the shear stress–shear displacement curves of outwash deposits show great differences at the post-peak stage due to the random spatial distribution and content of stones. From the mesoscopic view, normal directions of contacts between “soil” and “stone” particles undergo apparent deflection as the shear displacement continues during the shearing process, accompanying redistribution of the magnitude of contact forces during the shearing process. For outwash deposits, the shear zone formed after shear failure is an irregular stripe due to the movements of stones near the shear zone, and it expands gradually with the increase of stone content. In addition, there is an approximately linear relation between the mean increment of internal friction angle and the stone content lying between 30% and 60%, and a concave nonlinear relation between the mean increment of cohesion and stone content, which are in good agreement with the existing research results.

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References

  1. XU Wei-ya, ZHANG Qiang, ZHANG Jiu-chang, WANG Ru-bin, WANG Ren-kun. Deformation and control engineering related to huge landslide on left bank of Xiluodu reservoir, south-west China [J]. European Journal of Environmental and Civil Engineering, 2013, 17: s249–s268.

    Google Scholar 

  2. XU Wei-ya, ZHANG Qiang, WANG Ru-bin, WANG Huan-ling, WANG Ren-kun, XIE Wei-chao. Mechanism of continuous movement and long-term safety analysis of Baitieba landslide based on field monitoring data and numerical simulation [J]. European Journal of Environmental and Civil Engineering, 2015, 19: s140–s154.

    Google Scholar 

  3. WANG Huan-ling, XU Wei-ya. Stability of Liangshuijing landslide under variation water levels of Three Gorges Reservoir [J]. European Journal of Environmental and Civil Engineering, 2013, 17: s158–s177.

    Article  Google Scholar 

  4. ZHANG Y, XU W Y, SHAO J F, ZOU L F, SUN H K. Comprehensive assessment and global stabilization measures of a large landslide in hydropower engineering [J]. European Journal of Environmental and Civil Engineering, 2013, 17(3): 154–175.

    Article  Google Scholar 

  5. ZHOU Jia-wen, XU Wei-ya, YANG Xing-guo, SHI Chong, YANG Zhao-hui. The 28 October 1996 landslide and analysis of the stability of the current Huashiban slope at the Liangjiaren Hydropower Station, Southwest China [J]. Engineering Geology, 2010, 114(1): 45–56.

    Article  Google Scholar 

  6. LINDQUIST E S, GOODMAN R E. Strength and deformation properties of a physical model mélange [C]// 1st North American Rock Mechanics Symposium. American Rock Mechanics Association, 1994: 843–850.

    Google Scholar 

  7. LINDQUIST E S. The strength and deformation properties of mélange [D]. Berkeley, USA: University of California, 1994.

    Google Scholar 

  8. VALLEJO L E, MAWBY R. Porosity influence on the shear strength of granular material–clay mixtures [J]. Engineering Geology, 2000, 58(2): 125–136.

    Article  Google Scholar 

  9. XU Wen-Jie, XU Qiang, HU Rui-lin. Study on the shear strength of soil–rock mixture by large scale direct shear test [J]. International Journal of Rock Mechanics and Mining Sciences, 2011, 48(8): 1235–1247. (in Chinese)

    Article  Google Scholar 

  10. XU Wen-Jie, HU Rui-lin, YUE Zhong-qi, ZHANG Rui, WANG Guo-liang. Research on relationship between rock block proportion and shear strength of soil-rock mixtures based on digital image analysis and large direct shear test [J]. Chinese Journal of Rock Mechanics and Engineering, 2008, 27(5): 996–1007. (in Chinese)

    Google Scholar 

  11. DING Xiu-li, LI Yao-xu, WANG Xin. Particle flow modeling mechanical properties of soil and rock mixtures based on digital image [J]. Chinese Journal of Rock Mechanics and Engineering, 2010, 29(3): 477–484. (in Chinese)

    Google Scholar 

  12. XU An-quan, XU Wei-ya, SHI Chong, XIA Zhi-hao. Discrete element simulation of composite geomaterial talus deposit based on digital image technology [C]// Applied Mechanics and Materials. 2011, 55: 125–131.

    Google Scholar 

  13. WANG Sheng-nian, XU Wei-ya, SHI Chong, ZHANG Qiang. Numerical simulation of direct shear tests on mechanical properties of talus deposits based on self-adaptive PCNN digital image processing [J]. Journal of Central South University, 2014, 21(7): 2904–2914.

    Article  Google Scholar 

  14. XU Wen-jie, HU Rui-lin, YUE Zhong-qi. Development of random mesostructure generating system of soil-rock mixture and study of its mesostructural mechanics based on numerical test [J]. Chinese Journal of Rock Mechanics and Engineering, 2009, 28(8): 1652–1665. (in Chinese)

    Google Scholar 

  15. LI Xiao, LIAO Qiu-lin, HE Jian-ming. In-situ tests and a stochastic structural model of rock and soil aggregate in the three gorges reservoir area, China [J]. International Journal of Rock Mechanics and Mining Sciences, 2004, 41(sup1): 702–707.

    Article  Google Scholar 

  16. HE Jian-ming, LI Xiao, LI Shou-ding, GU Jin-lue. Numerical study of rock-soil aggregate by discrete element modeling [C]// Sixth International Conference on Fuzzy Systems and Knowledge Discovery. IEEE, 2009: 565–569.

    Google Scholar 

  17. SHI Chong, WANG Sheng-nian, LIU Lin, MENG Qing-xiang, ZHANG Qiang. Mesomechanical simulation of direct shear test on outwash deposits with granular discrete element method [J]. Journal of Central South University, 2013, 20(4): 1094–1102.

    Article  Google Scholar 

  18. JIA Xue-ming, CHAI He-jun, ZHENG Ying-ren. Mesomechanics research of large direct shear test on soil and rock aggregate mixture with particle flow code simulation [J]. Rock and Soil Mechanics, 2010, 31(9): 2695–2703. (in Chinese)

    Google Scholar 

  19. MEDLEY E V, LINDQUIST E S. The engineering significance of the scale-independence of some Franciscan mélanges in California, USA [C]// Proceedings of the 35th US rock mechanics symposium. Rotterdam: Balkema, 1995: 907–914.

    Google Scholar 

  20. XU Wen-jie, YUE Zhong-qi, HU Rui-lin. Study on the mesostructure and mesomechanical characteristics of the soil–rock mixture using digital image processing based finite element method [J]. International Journal of Rock Mechanics and Mining Sciences, 2008, 45(5): 749–762.

    Article  Google Scholar 

  21. WANG Zong-min, KWAN A K H, CHAN H C. Mesoscopic study of concrete I: generation of random aggregate structure and finite element mesh [J]. Computers & Structures, 1999, 70(5): 533–544.

    Article  MATH  Google Scholar 

  22. HE Jian-ming. Study of deformation and failure mechanisms of soil/rock mixtures in Three Gorges reservoir area [D]. Beijing, China: University of Mining and Technology (Beijing), 2004.

    Google Scholar 

  23. YOU Xin-hua. Stochastic structural model of the earth-rock aggregate and its application [D]. Beijing, China: Beijing Jiaotong University, 2001.

    Google Scholar 

  24. ITASCA CONSULTING GROUP INC. PFC2D (Particle flow code in 2 dimensions) (Version 3.1) [R]. Minneapolis: Itasca Consulting Group Inc., 2004.

    Google Scholar 

  25. CUNDALL P A, STRACK O D L. A discrete numerical model for granular assemblies [J]. Geotechnique, 1979, 29(1): 47–65.

    Article  Google Scholar 

  26. COETZEE C J, ELS D N J. Calibration of granular material parameters for DEM modelling and numerical verification by blade–granular material interaction [J]. Journal of Terramechanics, 2009, 46(1): 15–26.

    Article  Google Scholar 

  27. YOON J. Application of experimental design and optimization to PFC model calibration in uniaxial compression simulation [J]. International Journal of Rock Mechanics and Mining Sciences, 2007, 44(6): 871–889.

    Article  Google Scholar 

  28. XU Wen-jie, HU Rui-lin, TAN R J. Some geomechanical properties of soil–rock mixtures in the Hutiao Gorge area, China [J]. Geotechnique, 2007, 57(3): 255–264.

    Article  Google Scholar 

  29. IRFAN T Y, TANG K Y. Effect of the coarse fractions on the shear strength of colluvium [M]. Hong Kong: Geotechnical Engineering Office, Civil Engineering Department, 1993.

    Google Scholar 

  30. MEDLEY E W. Systematic characterization of mélange bimrocks and other chaotic soil/rock mixtures [J]. Felsbau, 1999, 17(3): 152–162.

    Google Scholar 

  31. LI Wei-shu, WU Ai-qing, DING Xiu-li. Study on influencing factors of shear strength parameters of slide zone clay in three Gorges Reservoir area [J]. Rock and Soil Mechanics, 2006, 27(1): 56–60. (in Chinese)

    MathSciNet  Google Scholar 

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Correspondence to Qiang Zhang  (张强).

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Foundation item: Project(2011CB013504) supported by the National Basic Research Program (973 Program) of China; Project(2013BAB06B01) supported by the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period; Projects(11772118, 51479049, 51709282) supported by the National Natural Science Foundation of China; Project(2017M620838) supported by the Postdoctoral Science Foundation of China; Project(487237) supported by the Natural Sciences and Engineering Research Council of Canada

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Zhang, Q., Xu, Wy., Liu, Qy. et al. Numerical investigations on mechanical characteristics and failure mechanism of outwash deposits based on random meso-structures using discrete element method. J. Cent. South Univ. 24, 2894–2905 (2017). https://doi.org/10.1007/s11771-017-3703-6

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  • DOI: https://doi.org/10.1007/s11771-017-3703-6

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