2025/12/22 by Giacomo Dimarco, Dimarco, Giacomo, Axel Klar +5 · 1 citation
Engineering · Physics and Astronomy · #Lattice Boltzmann Simulation Studies #Advanced Numerical Methods in Computational Mathematics #Model Reduction and Neural Networks
paper · doi:10.48550/arxiv.2512.19847
We consider a Lattice Boltzmann type discrete velocity model in the low Mach number scaling and develop a corresponding numerical scheme that remains uniformly valid across all regimes of the mean free path, from the kinetic to the hydrodynamic scale. The proposed framework ensures high order temporal accuracy through the use of Implicit Explicit Runge Kutta methods, which provide stability and efficiency in stiff regimes, while spatial resolution is enhanced by combining finite difference WENO reconstructions with high order central difference approximations. In the appropriate asymptotic limit, the scheme reduces to a high order finite difference formulation of the incompressible Navier Stokes equations, thereby guaranteeing physical consistency of the numerical approximation with the limit model. To corroborate the theoretical findings, a set of numerical experiments is performed on two dimensional benchmark problems, which confirm the accuracy, stability, and versatility of the method across different flow regimes.