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Contact force measurements and stress-induced anisotropy in granular materials

Author

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  • T. S. Majmudar

    (Duke University
    Duke University)

  • R. P. Behringer

    (Duke University
    Duke University)

Abstract

Interparticle forces in granular media form an inhomogeneous distribution of filamentary force chains. Understanding such forces and their spatial correlations, specifically in response to forces at the system boundaries1,2, represents a fundamental goal of granular mechanics. The problem is of relevance to civil engineering, geophysics and physics3,4,5, being important for the understanding of jamming, shear-induced yielding and mechanical response. Here we report measurements of the normal and tangential grain-scale forces inside a two-dimensional system of photoelastic disks that are subject to pure shear and isotropic compression. Various statistical measures show the underlying differences between these two stress states. These differences appear in the distributions of normal forces (which are more rounded for compression than shear), although not in the distributions of tangential forces (which are exponential in both cases). Sheared systems show anisotropy in the distributions of both the contact network and the contact forces. Anisotropy also occurs in the spatial correlations of forces, which provide a quantitative replacement for the idea of force chains. Sheared systems have long-range correlations in the direction of force chains, whereas isotropically compressed systems have short-range correlations regardless of the direction.

Suggested Citation

  • T. S. Majmudar & R. P. Behringer, 2005. "Contact force measurements and stress-induced anisotropy in granular materials," Nature, Nature, vol. 435(7045), pages 1079-1082, June.
  • Handle: RePEc:nat:nature:v:435:y:2005:i:7045:d:10.1038_nature03805
    DOI: 10.1038/nature03805
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    Cited by:

    1. Mandeep R. Pandey & Jeffrey A. Priest & Jocelyn L. Hayley, 2022. "The Influence of Particle Size and Hydrate Formation Path on the Geomechanical Behavior of Hydrate Bearing Sands," Energies, MDPI, vol. 15(24), pages 1-23, December.
    2. Rituparno Mandal & Corneel Casert & Peter Sollich, 2022. "Robust prediction of force chains in jammed solids using graph neural networks," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    3. Chand, Ram & Ali Khaskheli, Murad & Qadir, Abdul & Sandali, Yahya & Shi, Qingfan, 2014. "Influence of spontaneous percolation on apparent mass at the bottom of a Janssen granular column," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 96-100.
    4. Zhang, Xinggang & Dai, Dan, 2020. "Governing equations for stress distribution in rhombic disk packings," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).

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