1997
DOI: 10.1007/bf02183630
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The granular phase diagram

Abstract: The kinetic energy distribution function satisfying the Boltzmann equation is studied analytically and numerically for a system of inelastic hard spheres in the case of binary collisions. Analytically, this function is shown to have a similarity form in the simple cases of uniform or steady-state flows. This determines the region of validity of hydrodynamic description. The latter is used to construct the phase diagram of granular systems, and discriminate between clustering instability and inelastic collapse.… Show more

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Cited by 251 publications
(285 citation statements)
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“…Overpopulated tails in free IHS fluids [9] and driven ones [10] have also been studied by molecular dynamics simulations of inelastic hard spheres. The observed overpopulations in IHS systems are mainly stretched exponentials exp[−Ac b ] with b = 1 [11,4,7,8] in systems without energy input, and b = 3/2 [4,8] in driven systems, but for some forms of driving [8,5] b = 2 has been observed. For hard sphere systems there is in general good agreement between the analytic predictions and numerical or Monte Carlo solutions of the nonlinear Boltzmann equation.…”
Section: Introductionmentioning
confidence: 99%
“…Overpopulated tails in free IHS fluids [9] and driven ones [10] have also been studied by molecular dynamics simulations of inelastic hard spheres. The observed overpopulations in IHS systems are mainly stretched exponentials exp[−Ac b ] with b = 1 [11,4,7,8] in systems without energy input, and b = 3/2 [4,8] in driven systems, but for some forms of driving [8,5] b = 2 has been observed. For hard sphere systems there is in general good agreement between the analytic predictions and numerical or Monte Carlo solutions of the nonlinear Boltzmann equation.…”
Section: Introductionmentioning
confidence: 99%
“…As explained above, the appearance of density clusters can even be further delayed, or all together suppressed by decreasing the system size [27,28,29,23] This implies,…”
Section: Incompressible Flowsmentioning
confidence: 92%
“…The present theoretical understanding of these instabilities [27,28,29,23,25] is essentially based on a linear stability analysis of the hydrodynamic fluctuations in the density, δn = n −n, temperature, δT = T −T , and flow velocity u. This is done by using the rescaled…”
Section: Dynamic Equations and Instabilitiesmentioning
confidence: 99%
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