Network flow model of force transmission in unbonded and bonded granular media

Antoinette Tordesillas, Steven T. Tobin, Mehmet Cil, Khalid Alshibli, and Robert P. Behringer
Phys. Rev. E 91, 062204 – Published 8 June 2015

Abstract

An established aspect of force transmission in quasistatic deformation of granular media is the existence of a dual network of strongly versus weakly loaded particles. Despite significant interest, the regulation of strong and weak forces through the contact network remains poorly understood. We examine this aspect of force transmission using data on microstructural fabric from: (I) three-dimensional discrete element models of grain agglomerates of bonded subspheres constructed from in situ synchrotron microtomography images of silica sand grains under unconfined compression and (II) two-dimensional assemblies of unbonded photoelastic circular disks submitted to biaxial compression under constant volume. We model force transmission as a network flow and solve the maximum flow–minimum cost (MFMC) problem, the solution to which yields a percolating subnetwork of contacts that transmits the “maximum flow” (i.e., the highest units of force) at “least cost” (i.e., the dissipated energy from such transmission). We find the MFMC describes a two-tier hierarchical architecture. At the local level, it encapsulates intraconnections between particles in individual force chains and in their conjoined 3-cycles, with the most common configuration having at least one force chain contact experiencing frustrated rotation. At the global level, the MFMC encapsulates interconnections between force chains. The MFMC can be used to predict most of the force chain particles without need for any information on contact forces, thereby suggesting the network flow framework may have potential broad utility in the modeling of force transmission in unbonded and bonded granular media.

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  • Received 5 February 2015

DOI:https://doi.org/10.1103/PhysRevE.91.062204

©2015 American Physical Society

Authors & Affiliations

Antoinette Tordesillas and Steven T. Tobin

  • School of Mathematics and Statistics, The University of Melbourne, Melbourne VIC 3010, Australia

Mehmet Cil and Khalid Alshibli

  • Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, Tennessee 37996, USA

Robert P. Behringer

  • Department of Physics, Duke University, Durham, North Carolina 27708, USA

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Vol. 91, Iss. 6 — June 2015

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