General synthetic iterative scheme for rarefied gas mixture flows
Jianan Zeng, Qi Li, Lei Wu

TL;DR
This paper introduces a general synthetic iterative scheme (GSIS) for efficiently simulating rarefied gas mixture flows, accurately capturing multiscale effects and reducing computational cost across various flow regimes.
Contribution
The paper develops a novel GSIS that combines kinetic and macroscopic equations, improving simulation speed and accuracy for complex gas mixtures with disparate properties.
Findings
GSIS reduces error by over three orders of magnitude in 10 iterations.
The scheme effectively handles wide ranges of mass ratios and flow speeds.
Error decay rate is below 0.5, indicating rapid convergence.
Abstract
The numerical simulation of rarefied gas mixtures with disparate mass and concentration is a huge research challenge. Based on our recent kinetic modelling for monatomic gas mixture flows, this problem is tackled by the general synthetic iterative scheme (GSIS), where the mesoscopic kinetic and macroscopic synthetic equations are alternately solved by the finite-volume discrete velocity method. Three important features of GSIS are highlighted. First, the synthetic equations are precisely derived from the kinetic equation, naturally reducing to the Navier-Stokes equations in the continuum flow regime; in other flow regimes, the kinetic equation provides high-order closure of the constitutive relations to capture the rarefaction effects. Second, these synthetic equations, which can be solved quickly, help to adjust the kinetic system to relax rapidly toward the steady state. Furthermore,…
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Taxonomy
TopicsGas Dynamics and Kinetic Theory · Fluid Dynamics and Turbulent Flows · Particle Dynamics in Fluid Flows
