TY - JOUR
T1 - An enhanced tool for probing the microscopic behavior of granular materials based on X-ray micro-CT and FDEM
AU - Chen, Yuan
AU - Ma, Gang
AU - Zhou, Wei
AU - Wei, Deheng
AU - Zhao, Qi
AU - Zou, Yuxiong
AU - Grasselli, Giovanni
N1 - Funding Information:
The authors thank Ms. Yu Wang and Dr. Aly Abdelaziz from University of Toronto for help in executing the experiments. This work was supported by the National Natural Science Foundation of China (Grant No. 51825905 , U1865204 , and 51779194 ) and Science project of China Huaneng Group Co. Ltd (HNKJ18-H26). The numerical calculations in this work have been done on the supercomputing system in the Supercomputing Center of Wuhan University.
Publisher Copyright:
© 2020
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/4
Y1 - 2021/4
N2 - 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 granular materials. We first conduct a min-triaxial test of Ottawa sand under X-ray micro-CT. Then, spherical harmonic analysis is performed to characterize multi-scale morphological characteristics of particles and used in the particle matching. The particle tracking algorithm ensures the matching accuracy between particle configurations even at large strain intervals. To probe intra-particle contact force, we reconstruct the numerical sample from X-ray image data. Without calibrating material parameters, FDEM simulation quantitatively agrees with the overall response of Ottawa sand recorded in experiment. Moreover, the particle scale dynamics obtained by simulation are remarkably quantitatively consistent with experiment results. The proposed tool sheds new light on bridging length scales from particle to granular system. We find that the granular material deforms plastically through spatially localized zones of large nonaffine displacements, and the spatiotemporal evolution of these zones controls the macroscopic responses of the system. The force chain collapse is relevant to the large induced structural voids formation within the shear transformation zones. Furthermore, we discover a connection between particle stress fluctuations and particle plastic rearrangements in granular materials.
AB - 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 granular materials. We first conduct a min-triaxial test of Ottawa sand under X-ray micro-CT. Then, spherical harmonic analysis is performed to characterize multi-scale morphological characteristics of particles and used in the particle matching. The particle tracking algorithm ensures the matching accuracy between particle configurations even at large strain intervals. To probe intra-particle contact force, we reconstruct the numerical sample from X-ray image data. Without calibrating material parameters, FDEM simulation quantitatively agrees with the overall response of Ottawa sand recorded in experiment. Moreover, the particle scale dynamics obtained by simulation are remarkably quantitatively consistent with experiment results. The proposed tool sheds new light on bridging length scales from particle to granular system. We find that the granular material deforms plastically through spatially localized zones of large nonaffine displacements, and the spatiotemporal evolution of these zones controls the macroscopic responses of the system. The force chain collapse is relevant to the large induced structural voids formation within the shear transformation zones. Furthermore, we discover a connection between particle stress fluctuations and particle plastic rearrangements in granular materials.
KW - FDEM
KW - Granular materials
KW - Intra-particle contact force
KW - Microscopic dynamics
KW - Particle matching and tracking
KW - X-ray micro-computed tomography
UR - http://www.scopus.com/inward/record.url?scp=85100082188&partnerID=8YFLogxK
U2 - 10.1016/j.compgeo.2020.103974
DO - 10.1016/j.compgeo.2020.103974
M3 - Journal article
AN - SCOPUS:85100082188
SN - 0266-352X
VL - 132
JO - Computers and Geotechnics
JF - Computers and Geotechnics
M1 - 103974
ER -