4.7 Article

Simulation of triaxial compression tests with polyhedral discrete elements

期刊

COMPUTERS AND GEOTECHNICS
卷 43, 期 -, 页码 92-100

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.compgeo.2012.02.011

关键词

Discrete element method; Polyhedral particles; Triaxial compression test; Sand behavior

向作者/读者索取更多资源

The triaxial compression test is by far the most common laboratory test used to measure the mechanical properties of granular soils. In this paper, a series of simulations using the discrete element method (DEM) with polyhedral particles are introduced to simulate drained and undrained triaxial compression tests. A series of OEM simulations are first presented to replicate nine isotropically consolidated drained triaxial compression (CIDC) tests on sand specimens. The DEM micro-mechanical parameters of the inter-particle friction angle, normal and shear contact stiffness were calibrated using a single test in the series. The calibrated DEM model was then used to compute the response of other eight tests. The model gave very good estimate of the behavior for the other eight tests corresponding to a range of initial void ratios and confining pressures. The deviatoric stress and volumetric strains obtained in each CIDC test simulation show good agreement with the corresponding experimental data. The major source of error in the simulations is the use of larger particle sizes necessary to keep the computational cost manageable. The OEM model was then used to compute undrained response of the sand specimens by simulating isotropically consolidated undrained triaxial compression (CIUC) tests. The computed responses, presented in terms of the stress path, deviatoric stress, and shear induced pore water pressure, are consistent with our understanding of sand behavior. The simulations demonstrate that polyhedral DEM provides a suitable tool for representing granular material responses in triaxial shear without the need for use of complex input model parameters. (C) 2012 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据