| Issue |
EPJ Web Conf.
Volume 340, 2025
Powders & Grains 2025 – 10th International Conference on Micromechanics on Granular Media
|
|
|---|---|---|
| Article Number | 09001 | |
| Number of page(s) | 4 | |
| Section | Particle-Based Numerical Methods | |
| DOI | https://doi.org/10.1051/epjconf/202534009001 | |
| Published online | 01 December 2025 | |
https://doi.org/10.1051/epjconf/202534009001
Biaxial shearing of star-shaped particles with multiellipse DEM model
1 Department of Engineering Mechanics and Energy, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan
2 Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, 60208, USA
3 Civil Engineering Design Division, Kajima Corporation, Minato-ku, Tokyo, 107-8477, Japan
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 1 December 2025
Abstract
Using the multiellipse-based discrete element method (DEM), we numerically study the biaxial shearing behavior of granular materials composed of star-shaped particles. These particle shapes are generated by overlapping two or three identical ellipses with a common center of mass, while varying the aspect ratio from 1 to 5. Our results reveal that the macroscopic shear strength of the system increases monotonically with particle non-convexity. In contrast, the packing fraction exhibits a non-monotonic dependence on non-convexity, initially increasing and then decreasing as non-convexity further grows. This behavior reflects variations in the local pore size due to the competition between short-range ordering and excluded volume effects. Furthermore, microscopic analysis indicates that the increase in shear strength is linked to higher contact numbers and reduced contact and inter-grain distances, corresponding to stronger interlocking at higher non-convexity.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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