Fast spectral solution of the generalized Enskog equation for dense gases

Lei Wu, Yonghao Zhang, Jason Reese

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

We propose a fast spectral method for solving the generalized Enskog equation for dense gases. For elastic collisions, the method solves the Enskog collision operator with a computational cost of O(Md􀀀1Nd logN), where d is the dimension of the velocity space, and Md􀀀1and Nd are the number of solid angle and velocity space discretizations, respectively. For inelastic collisions, the cost is N times higher. The accuracy of this fast spectral method is assessed by comparing our numerical results with analytical solutions of the spatially-homogeneous relaxation of heated granular gases. We also compare our results for force driven Poiseuille flow and Fourier flow with those from molecular dynamics and Monte Carlo simulations. Although it is phenomenological, the generalized Enskog equation is capable of capturing the flow dynamics of dense granular gases, and the fast spectral method is accurate and ecient. As example applications, Fourier and Couette flows of a dense granular gas are investigated. In additional to the temperature prole, both the density and the high-energy tails in the velocity distribution functions are found to be strongly in influenced by the restitution coecient.
Original languageEnglish
Pages (from-to)66-79
JournalJournal of Computational Physics
Publication statusPublished - 2015

Keywords / Materials (for Non-textual outputs)

  • enskog equation
  • dense granular gas
  • fast spectral method
  • rarefied gas dynamics


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