1. Pseudoentropic derivation of the regularized lattice Boltzmann method
- Author
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Holger Foysi, Dirk Reith, Knut Küllmer, Andreas Krämer, and Dominik Wilde
- Subjects
Physics ,Turbulence ,Lattice Boltzmann methods ,Reynolds number ,01 natural sciences ,010305 fluids & plasmas ,Vortex ,Binary entropy function ,symbols.namesake ,Distribution function ,Quadratic equation ,0103 physical sciences ,Taylor series ,symbols ,Statistical physics ,010306 general physics - Abstract
The lattice Boltzmann method (LBM) facilitates efficient simulations of fluid turbulence based on advection and collision of local particle distribution functions. To ensure stable simulations on underresolved grids, the collision operator must prevent drastic deviations from local equilibrium. This can be achieved by various methods, such as the multirelaxation time, entropic, quasiequilibrium, regularized, and cumulant schemes. Complementing a part of a unified theoretical framework of these schemes, the present work presents a derivation of the regularized lattice Boltzmann method (RLBM), which follows a recently introduced entropic multirelaxation time LBM by Karlin, B\"osch, and Chikatamarla (KBC). It is shown that both methods can be derived by locally maximizing a quadratic Taylor expansion of the entropy function. While KBC expands around the local equilibrium distribution, the RLBM is recovered by expanding entropy around a global equilibrium. Numerical tests were performed to elucidate the role of pseudoentropy maximization in these models. Simulations of a two-dimensional shear layer show that the RLBM successfully reproduces the largest eddies even on a $16\ifmmode\times\else\texttimes\fi{}16$ grid, while the conventional LBM becomes unstable for grid resolutions of $128\ifmmode\times\else\texttimes\fi{}128$ and lower. The RLBM suppresses spurious vortices more effectively than KBC. In contrast, simulations of the three-dimensional Taylor-Green and Kida vortices show that KBC performs better in resolving small scale vortices, outperforming the RLBM by a factor of 1.8 in terms of the effective Reynolds number.
- Published
- 2019
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