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Effect of DEM inter-particle parameters on uniaxial loading modeling results Full article

Journal Computational Particle Mechanics
ISSN: 2196-4378 , E-ISSN: 2196-4386
Output data Year: 2023, Volume: 10, Number: 6, Pages: 2021–2030 Pages count : 10 DOI: 10.1007/s40571-023-00604-y
Tags Discrete elements · Statistical analysis · Model calibration
Authors Chepelenkova Veronica 1 , Lisitsa Vadim 2
Affiliations
1 Novosibirsk State University, 2 Pirogova St., Novosibirsk, Russia, 630090
2 Institute of Mathematics SB RAS, 4 Kptug Ave., Novosibirsk, Russia, 630090

Funding (1)

1 Министерство науки и высшего образования РФ
Mathematical Center in Akademgorodok
075-15-2019-1613, 075-15-2022-281

Abstract: We present a 2D DEM-based model with bonded particles to simulate the uniaxial loading of a porous material. In this paper, we focus on the numerical study of the model parameters at the microscale (normal and tangential stiffnesses of the bonds, bond length, and friction coefficient) influence on the Young modulus and compressive strength of the modeled material. Young’s modulus exhibits linear dependence on the normal stiffness, whereas its dependence on the other parameters is more complex and hard to characterize. We illustrate that compressive strength depends linearly on the normal and tangential stiffness as well as on the bond length but it relates quadratically to the friction coefficient. Additionally, we illustrate that the model is scalable and that Young’s modulus and compressive strength do not depend on the particle size. The provided study allows the construction DEM-based model of porous material with prescribed properties to perform a simulation of uniaxial and triaxial loading of complex heterogeneous materials.
Cite: Chepelenkova V. , Lisitsa V.
Effect of DEM inter-particle parameters on uniaxial loading modeling results
Computational Particle Mechanics. 2023. V.10. N6. P.2021–2030. DOI: 10.1007/s40571-023-00604-y WOS Scopus РИНЦ OpenAlex
Dates:
Submitted: Dec 22, 2022
Accepted: Apr 23, 2023
Published online: May 17, 2023
Published print: Nov 15, 2023
Identifiers:
Web of science: WOS:000989826100002
Scopus: 2-s2.0-85159628671
Elibrary: 62318838
OpenAlex: W4376875158
Citing:
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