A state-of-the-art review of experimental and computational studies of granular materials: properties, advances, challenges, and future directions

P Tahmasebi - Progress in Materials Science, 2023 - Elsevier
Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide class of phenomena and systems, ranging from condensed matter physics, soft …

Quantifying interparticle forces and heterogeneity in 3D granular materials

RC Hurley, SA Hall, JE Andrade, J Wright - Physical review letters, 2016 - APS
Interparticle forces in granular materials are intimately linked to mechanical properties and
are known to self-organize into heterogeneous structures, or force chains, under external …

An enhanced tool for probing the microscopic behavior of granular materials based on X-ray micro-CT and FDEM

Y Chen, G Ma, W Zhou, D Wei, Q Zhao, Y Zou… - Computers and …, 2021 - Elsevier
We propose an enhanced tool by combining X-ray micro-computed tomography test and
hybrid finite and discrete element method to investigate the mechanical behaviors of …

[BOOK][B] Developments in Photoelasticity: A renaissance

K Ramesh - 2021 - iopscience.iop.org
In recent years, the field of digital photoelasticity has begun to stabilise. Developments in
Photoelasticity presents, in one volume, the time-tested advancements that have brought …

A machine learning-based strategy for experimentally estimating force chains of granular materials using X-ray micro-tomography

Z Cheng, J Wang, W **ong - Géotechnique, 2023 - icevirtuallibrary.com
A machine learning-based strategy is presented to estimate the contact force chains of
uniformly sized spherical granular materials under triaxial compression, using particle …

Effect of particle rolling resistance on drained and undrained behaviour of silty sand

QT Phan, HH Bui, GD Nguyen, A Bouazza - Acta Geotechnica, 2021 - Springer
This paper explores the effect of particle rolling resistance on the mechanical behaviour of
silty sand under various shearing conditions. The elastic–plastic spring–dashpot rolling …

[HTML][HTML] Constitutive modelling of idealised granular materials using machine learning method

M Wu, Z **a, J Wang - Journal of Rock Mechanics and Geotechnical …, 2023 - Elsevier
Predicting the constitutive response of granular soils is a fundamental goal in
geomechanics. This paper presents a machine learning (ML) framework for the prediction of …

Spanning the scales of granular materials through microscopic force imaging

N Brodu, JA Dijksman, RP Behringer - Nature communications, 2015 - nature.com
If you walk on sand, it supports your weight. How do the disordered forces between particles
in sand organize, to keep you from sinking? This simple question is surprisingly difficult to …

Capturing the inter-particle force distribution in granular material using LS-DEM

L Li, E Marteau, JE Andrade - Granular Matter, 2019 - Springer
Particle shape, as one of the most important physical ingredients of granular materials, can
greatly alter the characteristic of inter-particle force distribution which is of vital importance in …

A unified Minkowski sum model for largely deformed granular materials with arbitrary morphologies

S Wang, L Liu, Q Xu, D Liang, S Ji - Computer Methods in Applied …, 2024 - Elsevier
Since deformable granular materials with arbitrary morphologies constructed by different
dilated non-spherical models in complex structures remain challenging for numerical …