Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2001-07-20
Physics
Condensed Matter
Disordered Systems and Neural Networks
submitted to PRL
Scientific paper
10.1103/PhysRevLett.89.064303
A microstructural theory of dense granular materials is presented, based on two main ideas. Firstly, that macroscopic shear results form activated local rearrangements at a mesoscopic scale. Secondly, that the update frequency of microscopic processes is determined by granular temperature. In a shear cell, the resulting constitutive equations account for Bagnold's scaling and for the existence of a Coulomb criterion of yield. In the case of a granular flow down an inclined plane, they account for the rheology observed in recent experiments and for the temperature and velocity profiles measured numerically.
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