中南大学学报(自然科学版)2017,Vol.48Issue(7):1839-1848,10.DOI:10.11817/j.issn.1672-7207.2017.07.022
基于离散单元法的溜砂坡堆积形态数值研究
Numerical study of accumulation state for sand-sliding slope based on distinct element method
摘要
Abstract
The discrete element method was employed to simulate the accumulation process of sand-sliding slope.The aim of this study was to explore the relationship among inter-particle friction coefficient,particle shape and accumulation characteristics of sand-sliding slope.The results indicate that the particle size distribution of both the upper and the lower sand-sliding slope has a fractal feature.The fractal dimension of the upper accumulation body and the repose angle of sand-sliding slope increase with inter-particle friction coefficient increasing.Comparing the simulation results with different particle shapes,it is found that the worse the roundness of the particles,the larger the fractal dimension of the upper accumulation body and the repose angle of sand-sliding slope.With the increase of friction coefficient,heterogeneous degree of contact force also increases,that is,the proportion of weak force chain increases while the proportion of strong force chain decreases.Furthermore,the horizontal component of normal contact force decreases and the main direction of the contact normal orientation between particles inclines to the vertical direction.The force distribution among circular particles is like tree roots while the direction of strong force with shaped particles is almost the same as the direction of the chute.There is a linear relationship between the fractal dimension of the lower accumulation body and the accumulation porosity,namely,the larger the former,the smaller the latter.关键词
离散元/溜砂坡/堆积形态/细观机制/颗粒形状/分形Key words
distinct element method/sand-sliding slope/accumulation state/meso-mechanism/particle shape/fractal分类
天文与地球科学引用本文复制引用
来志强,周伟,杨利福,马刚,常晓林,徐琨..基于离散单元法的溜砂坡堆积形态数值研究[J].中南大学学报(自然科学版),2017,48(7):1839-1848,10.基金项目
国家优秀青年科学基金资助项目(51322905) (51322905)
中国博士后科学基金面上资助项目(2015M572195) (Project(51322905)supported by the National Science Foundation for Excellent Young Scholars of China (2015M572195)
Project(2015M572195) supported by China Postdoctoral Science Foundation) (2015M572195)