A kinetic approach to granular gases

TL;DR

This paper introduces models of driven granular gases that balance energy dissipation with random energy injection, revealing different regimes of spatial and velocity distributions depending on the driving parameters, supported by simulations and analytical analysis.

Contribution

It presents a new class of models for driven granular gases with a thermodynamic limit and analyzes the transition between homogeneous and clustered states.

Findings

Homogeneous regime with Gaussian velocity distribution at small relaxation times.

Clustered regime with fractal spatial distribution and non-Gaussian velocities at large relaxation times.

Simulation results agree well with analytical predictions.

Abstract

We address the problem of the so-called ``granular gases'', i.e. gases of massive particles in rapid movement undergoing inelastic collisions. We introduce a class of models of driven granular gases for which the stationary state is the result of the balance between the dissipation and the random forces which inject energies. These models exhibit a genuine thermodynamic limit, i.e. at fixed density the mean values of kinetic energy and dissipated energy per particle are independent of the number $N$ of particles, for large values of $N$. One has two regimes: when the typical relaxation time $\tau$ of the driving Brownian process is small compared with the mean collision time $\tau_c$ the spatial density is nearly homogeneous and the velocity probability distribution is gaussian. In the opposite limit $\tau \gg \tau_c$ one has strong spatial clustering, with a fractal distribution of particles, and the velocity probability distribution strongly deviates from the gaussian one. Simulations performed in one and two dimensions under the {\it Stosszahlansatz} Boltzmann approximation confirm the scenario. Furthermore we analyze the instabilities bringing to the spatial and the velocity clusterization. Firstly, in the framework of a mean-field model, we explain how the existence of the inelasticity can bring to a spatial clusterization; on the other side we discuss, in the framework of a Langevin dynamics treating the collisions in a mean-field way, how a non-gaussian distribution of velocity can arise. The comparison between the numerical and the analytical results exhibits an excellent agreement.