Current Science

Open Access Open Access  Restricted Access Subscription Access

Study of variation of pore properties in gravel soil under triaxial loading based on discrete element method


Affiliations
1 School of Transportation and Civil Engineering, Nantong University, Nantong, China; Research Institute of Geotechnical Engineering, Hohai University, Nanjing, China
2 School of Transportation and Civil Engineering, Nantong University, Nantong, China
3 School of Civil Engineering, Central South University, Changsha, China
4 Research Institute of Geotechnical Engineering, Hohai University, Nanjing, China
 

Gravel soil is a complex porous medium, whose mecha­nical behaviour under triaxial loading can be well simu­lated using the discrete element method. However, numerical simulation of porous medium under compression requires not only the stress–strain behaviour, but also the variation of pore properties. In this study, models of gravel soil with different gravel contents (weight percentage of gravel in gravel soil) are generated by the single particle delivery method, and numerical triaxial tests are performed on these gravel soil samples. The equivalent porosity and equivalent pore size are introduced as evaluation indexes of pores to study the variation of pore properties in the numerical tests. The numerical results indicate that the porosity of gravel soil shows a V-shaped trend with the gravel content, and the gravel soil samples have minimum porosity in the yield stage.

Keywords

Discrete element method, gravel soil, poro­sity, porous medium, triaxial loading
User
Notifications
Font Size

  • Zhu, J.-G., Guo, W.-L., Wen, Y.-F., Yin, J.-H. and Zhou, C., New gradation equation and applicability for particle-size distributions of various soils. Int. J. Geomech., 2018, 18(2), 1–8.

  • Yu, J., Wang, R., Zhang, J., Yan, L., Meng, Q., Zhang, C. and Li, X., Deformational characteristics of Donglinxin slope induced by reservoir fluctuation and rainfall. Curr. Sci., 2017, 113(6), 1159– 1166.

  • Conte, E., Donato, A. and Troncone, A., A simplified method for predicting rainfall-induced mobility of active landslides. Landslides, 2017, 14(1), 35–45.

  • Liu, Y. and Jeng, D.-S., Pore structure of grain-size fractal granular material. Materials, 2019, 12(13), 2053.

  • Chapuis, R. P. and Aubertin, M., On the use of the Kozeny Carman equation to predict the hydraulic conductivity of soils. Can. Geotech. J., 2003, 40(3), 616–628.

  • Jia, C., Yu, J., Zuo, J. and Eti-Inyenetrenchard, I., The creep behavior and permeability evolution of breccia lava in triaxial creep tests. Géotech. Lett., 2019, 9(1), 1–12.

  • Li, C., Yang, Y. T. and Hong, Z., Numerical study of soil–rock mixture: generation of random aggregate structure. Sci. China Technol. Sci., 2018, 61(3), 359–369.

  • Lopez, R. D. F., Silfwerbrand, J., Jelagin, D. and Birgisson, B., Force transmission and soil fabric of binary granular mixtures. Géotechnique, 2016, 66(7), 1–6.

  • Jin, L., Zeng, Y. W. and Zhang, S., Large scale triaxial tests on effects of rock block proportion and shape on mechanical properties of cemented soil-rock mixture. Rock Soil Mech., 2017, 38(1), 141– 149.

  • Wen-Jie, X., Qiang, X. and Rui-Lin, H., Study on the shear strength of soil–rock mixture by large scale direct shear test. Int. J. Rock Mech. Min. Sci., 2011, 48(8), 1235–1247.

  • Wen-Jie, X. U., Rui-Lin, H. U. and Wang, Y. P., PFC2D model for mesostructure of inhomogeneous geomaterial based on digital image processing. J. China Coal Soc., 2007, 32(4), 358–362.

  • Qiang, Z., Xu, W. Y., Liu, Q. Y. and Meng, Q. X., A novel nonoverlapping approach to accurately represent 2D arbitrary particles for DEM modelling. J. Central South Univ., 2017, 24(1), 190–202.

  • Ferellec, J. and McDowell, G., Modelling realistic shape and particle inertia in DEM. Géotechnique, 2010, 60(3), 227–232.

  • Yang, J., Sun, H., Xing, M., Wang, X. and Zheng, J., Numerical analysis of the failure process of soil–rock mixtures through computed tomography and PFC3D models. Int. J. Coal Sci. Technol., 2018, 5(2), 1–16.

  • Shi, C., Yang, W., Yang, J. and Chen, X., Calibration of microscaled mechanical parameters of granite based on a bonded-particle model with 2D particle flow code. Granular Matter, 2019, 21(2), 38.

  • Roozbahani, M. M., Borela, R. and Frost, J. D., Pore size distribution in granular material microstructure. Materials, 2017, 10(11), 1237.

  • Russell, A., How water retention in fractal soils depends on particle and pore sizes, shapes, volumes and surface areas. Géotechnique, 2014, 64(5), 379–390.

  • Cousins, T. A., Ghanbarian, B. and Daigle, H., Three-dimensional lattice Boltzmann simulations of single-phase permeability in random fractal porous media with rough pore–solid interface. Trans. Porous Media, 2018, 122(3), 527–546.

  • Chen, X. et al., A new model of pore structure typing based on fractal geometry. Mar. Pet. Geol., 2018, 98, 291–305.

  • Roozbahani, M. M., Graham-Brady, L. and Frost, J. D., Mechanical trapping of fine particles in a medium of mono-sized randomly packed spheres. Int. J. Num. Anal. Methods Geomech., 2014, 38(17), 1776–1791.

  • Al-Raoush, R., Thompson, K. and Willson, C. S., Comparison of network generation techniques for unconsolidated porous media. Soil Sci. Soc. Am. J., 2003, 67(6), 1687–1700.

  • Rabbani, A., Ayatollahi, S., Kharrat, R. and Dashti, N., Estimation of 3-D pore network coordination number of rocks from watershed segmentation of a single 2-D image. Adv. Water Resour., 2016, 94, 264–277.

  • Medley, E., The engineering characterization of melanges and similar block-in-matrix rocks (bimrocks). Thesis, University of California, Berkeley, USA, 1994.

  • Nishiyama, N. and Yokoyama, T., Permeability of porous media: role of the critical pore size. J. Geophys. Res.: Solid Earth, 2017, 122(9), 6955–6971.


Abstract Views: 321

PDF Views: 138




  • Study of variation of pore properties in gravel soil under triaxial loading based on discrete element method

Abstract Views: 321  |  PDF Views: 138

Authors

Jun Yu
School of Transportation and Civil Engineering, Nantong University, Nantong, China; Research Institute of Geotechnical Engineering, Hohai University, Nanjing, China
Chang Jiang Wu
School of Transportation and Civil Engineering, Nantong University, Nantong, China
Chaojun Jia
School of Civil Engineering, Central South University, Changsha, China
Weiya Xu
Research Institute of Geotechnical Engineering, Hohai University, Nanjing, China

Abstract


Gravel soil is a complex porous medium, whose mecha­nical behaviour under triaxial loading can be well simu­lated using the discrete element method. However, numerical simulation of porous medium under compression requires not only the stress–strain behaviour, but also the variation of pore properties. In this study, models of gravel soil with different gravel contents (weight percentage of gravel in gravel soil) are generated by the single particle delivery method, and numerical triaxial tests are performed on these gravel soil samples. The equivalent porosity and equivalent pore size are introduced as evaluation indexes of pores to study the variation of pore properties in the numerical tests. The numerical results indicate that the porosity of gravel soil shows a V-shaped trend with the gravel content, and the gravel soil samples have minimum porosity in the yield stage.

Keywords


Discrete element method, gravel soil, poro­sity, porous medium, triaxial loading

References





DOI: https://doi.org/10.18520/cs%2Fv121%2Fi6%2F801-809