High-Order Asymptotic-Preserving IMEX schemes for an ES-BGK model for Gas Mixtures
Domenico Caparello, Lorenzo Pareschi, Thomas Rey
TL;DR
The paper tackles multiscale kinetic modeling of gas mixtures by developing a high-order asymptotic-preserving IMEX scheme for the multi-species ES-BGK model. It combines a third-order IMEX Runge-Kutta time discretization with CWENO3 spatial reconstruction, a conservative velocity discretization, and a parallel implementation to handle arbitrary numbers of species. The scheme remains uniformly stable across Knudsen numbers, recovers the correct Euler (and Navier–Stokes in the appropriate limit) behavior in the fluid regime, and shows strong accuracy in kinetic regimes through a comprehensive suite of tests, including comparisons to BGK and full Boltzmann operators. This work provides a robust, efficient framework for simulations of gas mixtures across regimes, with potential extensions to more complex collisions and mesh types.
Abstract
In this work we construct a high-order Asymptotic-Preserving (AP) Implicit-Explicit (IMEX) scheme for the ES-BGK model for gas mixtures introduced in [Brull, Commun. Math. Sci., 2015]. The time discretization is based on the IMEX strategy proposed in [Filbet, Jin, J. Sci. Comput., 2011] for the single-species BGK model and is here extended to the multi-species ES-BGK setting. The resulting method is fully explicit, uniformly stable with respect to the Knudsen number and, in the fluid regime, it reduces to a consistent and high-order accurate solver for the limiting macroscopic equations of the mixture. The IMEX structure removes the stiffness associated with the relaxation term so that the time step is constrained only by a hyperbolic CFL condition. The full solver couples a high-order space and velocity discretization that includes third-order time integration, a CWENO3 finite-volume reconstruction in space, exact conservation of macroscopic moments in the discrete velocity space, and a multithreaded implementation. The proposed approach can handle an arbitrary number of species. Its accuracy and robustness are demonstrated on a set of multidimensional kinetic tests for gas mixtures, where the AP property and the correct asymptotics are numerically verified across different regimes.
