English

A self-similar model for shear flows in dense granular materials

Disordered Systems and Neural Networks 2009-10-31 v2 adap-org Adaptation and Self-Organizing Systems

Abstract

We propose a model to describe the quasistatic shearing of dry granular materials, which notably captures the differences in velocity profiles recently observed in 2 and 3-D Couette flow experiments. In our scheme, the steady-state flow is due to the intermittent motion of particle clusters moving together with the wall. The motion of a cluster is associated with the transient formation of a fracture inside the sheared pack. The model is based on the existence of a persistence length for the fractures, which imposes a self-similar structure on the clusters. Through a probabilistic approach, we can evaluate the rate of appearance of a cluster of a given size and obtain a prediction for the average velocity profiles. We also predict the existence of large stress fluctuations at the moving wall, which characteristics are in good agreement with experimental data.

Keywords

Cite

@article{arxiv.cond-mat/9901336,
  title  = {A self-similar model for shear flows in dense granular materials},
  author = {G. Debregeas and C. Josserand},
  journal= {arXiv preprint arXiv:cond-mat/9901336},
  year   = {2009}
}

Comments

7 pages, 2 figures, correction of the text

R2 v1 2026-07-22T12:09:25.617Z