Implementation of Asymptotic Preserving Discrete Velocity Methods into the Simulation Code PICLas
F\'elix Garmirian, Marcel Pfeiffer

TL;DR
This paper introduces a second-order asymptotic preserving discrete velocity method for the BGK equation, maintaining positivity and enabling efficient multiscale gas flow simulations, with detailed implementation and performance evaluation.
Contribution
It presents a novel second-order asymptotic preserving discrete velocity method with positivity preservation, applicable to multiscale gas flow simulations, and details its deterministic implementation.
Findings
Method maintains positivity with cell-local distribution functions.
Performance evaluated successfully on multiple test cases.
Provides a robust toolbox for multiscale gas phenomena simulation.
Abstract
The Bhatnagar-Gross-Krook (BGK) model of the Boltzmann equation allows for efficient flow simulations, especially in the transition regime between continuum and high rarefaction. However, ensuring efficient performances for multiscale flows, in which the Knudsen number varies by several orders of magnitude, is never straightforward. Discrete velocity methods as well as particle-based solvers can each reveal advantageous in different conditions, but not without compromises in specific regimes. This article presents a second-order asymptotic preserving discrete velocity method to solve the BGK equation, with the particularity of maintaining positivity when operations are conducted with the cell-local distribution function. With this procedure based on exponential differencing, it is therefore also possible to construct an adapted version of this second-order method using the stochastic…
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Taxonomy
TopicsLattice Boltzmann Simulation Studies · Electrostatics and Colloid Interactions · Advanced Mathematical Modeling in Engineering
