Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2006-06-28
J. Stat. Mech. (2007) P01023.
Physics
Condensed Matter
Disordered Systems and Neural Networks
17 pages, 6 figures. v2: slightly rearranged, introduction and discussion rewritten
Scientific paper
10.1088/1742-5468/2007/01/P01023
We characterize the force state of shear-loaded granular matter by relating the macroscopic stress to statistical properties of the force network. The purely repulsive nature of the interaction between grains naturally provides an upper bound for the sustainable shear stress, which we analyze using an optimization procedure inspired by the so-called force network ensemble. We establish a relation between the maximum possible shear resistance and the friction coefficient between individual grains, and find that anisotropies of the contact network (or the fabric tensor) only have a subdominant effect. These results can be considered the hyperstatic limit of the force network ensemble and we discuss possible implications for real systems. Finally, we argue how force anisotropies can be related quantitatively to experimental measurements of the effective elastic constants.
Ellenbroek Wouter G.
Snoeijer Jacco H.
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