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Spanning the scales of granular materials through microscopic force imaging

Author

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  • Nicolas Brodu

    (Duke University
    Institut National de Recherche en Informatique et en Automatique, Bordeaux Sud-Ouest)

  • Joshua A. Dijksman

    (Duke University
    Laboratory of Physical Chemistry and Colloid Science, Wageningen University)

  • Robert P. Behringer

    (Duke University)

Abstract

If you walk on sand, it supports your weight. How do the disordered forces between particles in sand organize, to keep you from sinking? This simple question is surprisingly difficult to answer experimentally: measuring forces in three dimensions, between deeply buried grains, is challenging. Here we describe experiments in which we have succeeded in measuring forces inside a granular packing subject to controlled deformations. We connect the measured micro-scale forces to the macro-scale packing force response with an averaging, mean field calculation. This calculation explains how the combination of packing structure and contact deformations produce the observed nontrivial mechanical response of the packing, revealing a surprising microscopic particle deformation enhancement mechanism.

Suggested Citation

  • Nicolas Brodu & Joshua A. Dijksman & Robert P. Behringer, 2015. "Spanning the scales of granular materials through microscopic force imaging," Nature Communications, Nature, vol. 6(1), pages 1-6, May.
    • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7361
    DOI: 10.1038/ncomms7361
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    Cited by:

    1. 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.

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