A weighted upwind equilibrium distribution for vector kinetic lattice Boltzmann methods, using a smooth eigenvalue-based flux split, improves stability and accuracy for hyperbolic conservation laws.
Equilibrium boundary conditions for vectorial multi-dimensional lattice Boltzmann schemes
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abstract
The concept of equilibrium is a general tool to fill the gap between macroscopic and mesoscopic information, both within kinetic systems and kinetic schemes. This work explores the use of equilibria to devise numerical boundary conditions for multi-dimensional vectorial lattice Boltzmann schemes tackling systems of hyperbolic conservation laws. In the scalar case, we prove convergence for schemes with monotone relaxation to the weak entropy solution by Bardos, Leroux, and N{\'e}delec [Commun. Partial Differ. Equ., 4 (9), 1979], following the path by Crandall and Majda [Math. Comput., 34, 149 (1980)]. Numerical experiments are conducted both for scalar and vectorial problems, and demonstrate the effectiveness of equilibrium boundary conditions in capturing significant physical phenomena.
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A Weighted Upwind Vector Kinetic Lattice Boltzmann Method For Hyperbolic Conservation Laws
A weighted upwind equilibrium distribution for vector kinetic lattice Boltzmann methods, using a smooth eigenvalue-based flux split, improves stability and accuracy for hyperbolic conservation laws.