Regime transitions of granular flow in a shear cell: A micromechanical study

X. Wang, H. P. Zhu, S. Luding, and A. B. Yu
Phys. Rev. E 88, 032203 – Published 10 September 2013

Abstract

The regime transitions of granular flow in a model shear cell are investigated numerically with a stress-controlled boundary condition. The correlations between the elastically and kinetically scaled stresses and the packing fraction are examined, and two packing fractions (0.58 and 0.50) are identified for the quasistatic to intermediate and intermediate to inertial regime transitions. The profiles and structures of contact networks and force chains among particles in different flow regimes are investigated. It is shown that the connectivity (coordination number) among particles and the homogeneity in the shear flow increase as the system goes through the inertial, intermediate, and then quasistatic regimes, and there is only little variation in the internal structure after the system has entered the quasistatic regime. Short-range force chains start to appear in the inertial regime, which also depend on the magnitude of the shear rate. The percolation of system-spanning force chains through the whole system is a characteristic of the onset of the quasistatic regime, which happens at a packing fraction that is close to the glass transition, i.e., about random loose packing (0.58) but far below the isotropic quasistatic (athermal) jamming packing fraction of random close packing (0.64). The tails of the probability density distribution P(f) of the scaled normal contact forces for the flows in different regimes are quantified by a stretched exponential P(f)=exp(cfn) with a remarkable finding that n ∼ 1.1 may be a potential demarcation point separating the quasistatic regime and the inertial or intermediate regimes.

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  • Received 30 December 2012

DOI:https://doi.org/10.1103/PhysRevE.88.032203

©2013 American Physical Society

Authors & Affiliations

X. Wang1, H. P. Zhu2, S. Luding3, and A. B. Yu1,*

  • 1Laboratory for Simulation and Modeling of Particulate Systems, School of Materials Science and Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia
  • 2School of Computing, Engineering and Mathematics, University of Western Sydney, Locked Bag 1797, Penrith, New South Wales 2751, Australia
  • 3Multi Scale Mechanics, Faculty of Engineering Technology (CTW), MESA+, University of Twente, P.O. Box 217, 7500 AE Enschede, Netherlands

  • *Corresponding author: a.yu@unsw.edu.au

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Vol. 88, Iss. 3 — September 2013

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