| Issue |
EPJ Web Conf.
Volume 340, 2025
Powders & Grains 2025 – 10th International Conference on Micromechanics on Granular Media
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 8 | |
| Section | Invited Speakers | |
| DOI | https://doi.org/10.1051/epjconf/202534001004 | |
| Published online | 01 December 2025 | |
https://doi.org/10.1051/epjconf/202534001004
Stress transmission and fabric states in granular materials
1 LMGC, University of Montpellier, CNRS, 163 rue Auguste Broussonnet, 34090 Montpellier, France
2 Hanoi University of Civil Engineering, Faculty of Hydraulic Engineering, 55 Giai Phong street, Hanoi, Vietnam
3 CEA, DES, IRESNE, DEC, Cadarache F 13108 Saint Paul lez Durance, France
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 1 December 2025
Abstract
Force transmission in granular materials involves two key aspects that have generally been treated separately: (1) the broad probability density function of force magnitudes, and (2) the anisotropic distribution of contact orientations and the forces they transmit. In this paper, we first analyze the origins of the exponential distribution of strong forces and the non-exponential behavior observed in the weak-force range. We show that the exponential tail arises naturally from the statistical independence of contact forces acting on each particle, a consequence of the inherent disorder in granular packings. We then introduce a self-consistent force model for isotropic systems with a single free parameter that accounts for the non-exponential behavior of weak forces. We extend this model to account for both fabric and force anisotropies. We show that the resulting anisotropic force distribution successfully captures the bimodal nature of force transmission, as well as the dependence of the force statistics on the underlying fabric and force anisotropies.
© 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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