1996
DOI: 10.1103/physreve.54.3664
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Homogeneous cooling state of a low-density granular flow

Abstract: The homogeneous cooling state of a granular flow of smooth spherical particles described by the Boltzmann equation is investigated by means of the direct simulation Monte Carlo method. The velocity moments and also the velocity distribution function are obtained and compared with approximate analytical results derived recently. The accuracy of a Maxwell-Boltzmann approximation with a time-dependent temperature is discussed. Besides, the simulations show that the state of uniform density is unstable to long eno… Show more

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Cited by 196 publications
(213 citation statements)
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“…The deviations from the Gaussian moments exhibit a weak dependence on e, first becoming more sub-Gaussian as e decreases from unity but then becoming superGaussian for e near zero. The behavior near e = 1 is consistent with the known results for the homogeneous cooling state of a granular flow [8]. Nevertheless, the sixth-order central moment with e = 0 is considerably smaller than the corresponding central moment for Case 5 with e = 0.9 in the main text, indicating that the presence of a mean temperature gradient has a much stronger effect on the non-Gaussian behavior than does the restitution coefficient.…”
Section: B Kinetic Models For Granular Flowsupporting
confidence: 79%
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“…The deviations from the Gaussian moments exhibit a weak dependence on e, first becoming more sub-Gaussian as e decreases from unity but then becoming superGaussian for e near zero. The behavior near e = 1 is consistent with the known results for the homogeneous cooling state of a granular flow [8]. Nevertheless, the sixth-order central moment with e = 0 is considerably smaller than the corresponding central moment for Case 5 with e = 0.9 in the main text, indicating that the presence of a mean temperature gradient has a much stronger effect on the non-Gaussian behavior than does the restitution coefficient.…”
Section: B Kinetic Models For Granular Flowsupporting
confidence: 79%
“…In the elastic limit (ω =1), setting ζ =1 [7,8] in Eq. (2.4) recovers the Bhatnagar-GrossKrook (BGK) collision model [3].…”
Section: Moment Methods For the Boltzmann Kinetic Equationmentioning
confidence: 99%
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“…Overpopulated tails were first found theoretically by studying scaling or similarity solutions of the nonlinear EnskogBoltzmann equation for the IHS fluid, both in freely evolving IHS systems without energy input [4], as well as in driven or fluidized systems [4][5][6], and confirmed afterwards by Monte Carlo simulations of the Boltzmann equation [7,8], and by laboratory experiments [1]. Overpopulated tails in free IHS fluids [9] and driven ones [10] have also been studied by molecular dynamics simulations of inelastic hard spheres.…”
Section: Introductionmentioning
confidence: 99%