@statphys23

Scaling of non-Gaussian velocity distributions in sheared hard-sphere suspensions

, and . Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)

Abstract

The velocity probability distribution function (PDF) of sheared non-Brownian hard-sphere suspensions can show a pronounced deviation from a Gaussian with the tails of the distribution being higher than expected. We investigate such suspensions by means of coupled Molecular Dynamics and lattice Boltzmann simulations and demonstrate that the PDF can be fitted by a Gaussian for very low velocities, but shows exponential behavior over more than six orders of magnitude of probability for higher particle velocities. Further, we show that the PDFs scale with the shear rate as well as the particle volume concentration. In contrast to results published by other authors, we do not find any transition from Gaussian to exponential tails by varying the particle volume concentration, but demonstrate that such transitions can be due to insufficient statistics.

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