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  4. Lessons learned from matching 3D DEM and experiments at macro, meso and fabric scales for triaxial compression tests on lentils
 
research article

Lessons learned from matching 3D DEM and experiments at macro, meso and fabric scales for triaxial compression tests on lentils

Pan, Jin-hong
•
Pinzon, Gustavo
•
Wang, Rui
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December 1, 2023
Journal Of The Mechanics And Physics Of Solids

A series of discrete element method (DEM) triaxial compression simulations on specimens of an anisometric granular material starting from distinct initial fabric anisotropy states are conducted and compared with physical experiments on lentils at different scales, assisted by operando X-ray tomography measurements. A quantitative reproduction of the group of experimental results is achieved by appropriate idealization and determination of particle shape, boundary conditions, contact parameters, and initial state. The reliability of DEM in quantitative representation of macro scale stress-strain response, meso scale strain localization, and micro scale fabric anisotropy evolution is thus comprehensively validated against measurements from physical experiments, which is a step forward from comparisons only at the macro or particle kinematics level. Several key factors that govern realistic DEM simulations are also identified. The friction coefficient between particles during specimen generation, particle shape, and specimen preparation method can significantly affect the initial state of DEM specimens. Differences in initial state at macro and micro scales and boundary conditions can strongly influence the stress-strain response. However, the evolution of fabric anisotropy appears to be insensitive to changes in initial state and boundary conditions.

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Type
research article
DOI
10.1016/j.jmps.2023.105494
Web of Science ID

WOS:001129613400001

Author(s)
Pan, Jin-hong
Pinzon, Gustavo
Wang, Rui
Ando, Edward  
Viggiani, Gioacchino
Zhang, Jian-Min
Date Issued

2023-12-01

Publisher

Pergamon-Elsevier Science Ltd

Published in
Journal Of The Mechanics And Physics Of Solids
Volume

183

Article Number

105494

Subjects

Technology

•

Physical Sciences

•

Fabric Anisotropy

•

Discrete Element Method

•

X-Ray Tomography

•

Macro And Micro Scale

•

Initial State

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
IMAGING-GE  
FunderGrant Number

National Natural Science Foundation of China

52022046

State Key Laboratory of Hydroscience and Hydraulic Engineering

2021-KY-04

Beijing Natural Science Foundation, China

J210003

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Available on Infoscience
February 23, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/205229
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