A high order kinetic flow solver based on flux reconstruction framework
Ji Li, Chengwen Zhong, Sha Liu

TL;DR
This paper introduces a high order kinetic flow solver combining Kinetic Inviscid Flux with the Flux Reconstruction framework, aiming for high accuracy, efficiency, and better integration with gas-kinetic theory for turbulent flow simulation.
Contribution
It develops a novel high order numerical method integrating KIF with FR, balancing accuracy, efficiency, and gas-kinetic theory advantages.
Findings
Validated accuracy and performance through numerical tests.
Demonstrated effectiveness in simulating turbulent flows.
Achieved adaptive flux weighting based on collision time.
Abstract
The goal of this paper is to develop a high order numerical method based on Kinetic Inviscid Flux (KIF) method and Flux Reconstruction (FR) framework. The KIF aims to find a balance between the excellent merits of Gas-Kinetic Scheme (GKS) and the lower computational costs. The idea of KIF can be viewed as an inviscid-viscous splitting version of the gas-kinetic scheme, and Shu and Ohwada have made the fundamental contribution. The combination of Totally Thermalized Transport (TTT) scheme and Kinetic Flux Vector Splitting (KFVS) method are achieved in KIF. Using a coefficient which is related to time step and averaged collision time , KIF can adjust the weights of TTT and KFVS flux in the simulation adaptively. By doing the inviscid-viscous splitting, KIF is very suitable and easy to integrate into the existing framework. The well understood FR framework is used widely…
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