A direct relaxation process for particle methods in gas kinetic theory
Sirui Yang, Sha Liu, Chengwen Zhong, Junzhe Cao, Congshan, Zhuo

TL;DR
This paper introduces a novel multi-scale particle method that directly relaxes macroscopic variables, bypassing traditional model equations, to improve the prediction of complex gas flows in multi-scale and non-equilibrium conditions.
Contribution
It proposes a new direct relaxation process for particle methods that does not rely on specific model equations, enhancing flexibility and applicability in gas kinetic simulations.
Findings
The method accurately predicts multi-scale gas flows.
The approach simplifies the collision step in particle simulations.
Validation with five test cases confirms effectiveness.
Abstract
The multi-scale flow mechanism is crucial for force and heat loaded on near-space and reentry vehicles, the control of spacecraft by thrusters, the propelling and cooling of MEMS, etc. Since the continuum flow and rarefied flow often exist simultaneously, the modeling and prediction for such a multi-scale flow field is very complicated. One important and efficient way of predicting the multi-scale flow is constructing numerical methods by adapting the multi-scale properties of the temporal integral solutions (or equivalent characteristic line solutions) for the model equations in the gas-kinetic theory. The model equations can be classified into FP-type and BGK-type, and the numerical methods can have deterministic form or stochastic particle form. Since these numerical methods are strictly based on model equations, they are also restricted by the model equations. The difficulty and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
