Shear-induced anisotropy of granular materials with rolling resistance and particle shape effects

By Shiwei Zhao, T. Matthew Evans, Xiaowen Zhou. International Journal of Solids and Structures, 2018

178 citations recorded by the source corpus.

Abstract The rolling resistance model has been employed in the discrete element modelling in geomechanics, as an alternative computationally efficient approach to capture the resistance of particle rotation due to irregularity in shape. This paper presents a series of 3D DEM simulations of triaxial compression tests on specimens with rolling resistance and non-spherical particles using an in-house code. The non-spherical particle shapes are two kinds of special super-ellipsoids (i.e., superballs and ellipsoids) corresponding to two kinds of typical distortion in shape. A comprehensive comparison between the rolling resistance and particle shape effects on shear-induced fabric variation and anisotropy within granular materials is carried out. The simulations show that the manners in which quantifiers of fabric and anisotropy approach their respective critical state values vary with shear strain levels. Using the rolling resistance model can reproduce the main features of shear-induced fabric variation and anisotropy for most of these fabric measures. However, the effect of particle shape with just slight distortion from sphere can be captured well by the rolling resistance model. Moreover, high shear strengths can be achieved with sufficiently strong rolling resistance, but this is not recommended due to the unrealistic induced fabric. These findings highlight that the rolling resistance model should be carefully used in investigations, especially for micro-macro bridging.

Subfields: Civil and Structural Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/4df14a222fbd971d812ffb9679b4ef3532c90230

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Shiwei Zhao
2. Jidong Zhao
3. X. Shi
4. J. Nie
5. Yufeng Gao
6. Xiaowen Zhou
7. Jianfeng Wang

In Computational Mechanics

1. Jidong Zhao
2. Shiwei Zhao

Citations in the corpus

• A poly‐superellipsoid‐based approach on particle morphology for DEM modeling of granular media (2019, background): “and the contact point pB from particle B can be computed by pB = pA − dc; and (c) with a random rotation matrix, the position of particle B is readily obtained by Equation (22).”
• A homogenization equation for the small strain stiffness of gap-graded granular materials (2020, background): “forces between grains can be easily tracked through a monotonous loading process, and state dependent variables of each phase can also be determined from contact properties [75,71,56,74,78].”