Faculty Publications and Other Works -- Mathematics

Author ORCID Identifier

Wise: https://orcid.org/0000-0003-3824-2075

Document Type

Report

Publication Date

Spring 1-29-2024

Abstract

In this second progress report we expand upon our previous report and preliminary work. Specifically, we review some work on the numerical solution of single- and multi-species BGK-type kinetic equations of particle transport. Such equations model the motion of fluid particles via a density field when the kinetic theory of rarefied gases must be used in place of the continuum limit Navier-Stokes and Euler equations. The BGK-type equations describe the fluid in terms of phase space variables, and, in three space dimensions, require 6 independent phase-space variables (3 for space and 3 for velocity) for each species for accurate simulation. This requires sophisticated numerical algorithms and efficient code to realize predictions over desired space and time scales. In particular, stable numerical methods must be designed to handle potential discontinuities (shocks) and rarefaction waves in the solutions coming from conservative advection terms and, in addition, numerical stiffness owing to diffusive particle collision terms. Furthermore, the particle interaction terms are non-local in nature, adding yet another layer of complexity, and the interaction length scales of the non-local terms may be orders of magnitude different, when multiple particle species are involved. In this report, we outline strategies for generating efficient and stable numerical algorithms and code, including the use of (i) stable high-order finite volume methods, (ii) fully implicit and implicit-explicit (IMEX) time integration techniques, (iii) adaptive time-phase-space multi-level methods, (iv) discrete velocity methods, and (v) moment equation methods. The preliminary codes, which will be demonstrated herein, are built in the commercial software package MATLAB for quick and easy prototyping, but will later be translated into production software using modern open languages.

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