Simplification of the unified gas kinetic scheme

Songze Chen, Zhaoli Guo, and Kun Xu
Phys. Rev. E 94, 023313 – Published 22 August 2016

Abstract

The unified gas kinetic scheme (UGKS) is an asymptotic preserving (AP) scheme for kinetic equations. It is superior for transition flow simulation and has been validated in the past years. However, compared to the well-known discrete ordinate method (DOM), which is a classical numerical method solving the kinetic equations, the UGKS needs more computational resources. In this study, we propose a simplification of the unified gas kinetic scheme. It allows almost identical numerical cost as the DOM, but predicts numerical results as accurate as the UGKS. In the simplified scheme, the numerical flux for the velocity distribution function and the numerical flux for the macroscopic conservative quantities are evaluated separately. The equilibrium part of the UGKS flux is calculated by analytical solution instead of the numerical quadrature in velocity space. The simplification is equivalent to a flux hybridization of the gas kinetic scheme for the Navier-Stokes (NS) equations and the conventional discrete ordinate method. Several simplification strategies are tested, through which we can identify the key ingredient of the Navier-Stokes asymptotic preserving property. Numerical tests show that, as long as the collision effect is built into the macroscopic numerical flux, the numerical scheme is Navier-Stokes asymptotic preserving, regardless the accuracy of the microscopic numerical flux for the velocity distribution function.

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  • Received 9 February 2016

DOI:https://doi.org/10.1103/PhysRevE.94.023313

©2016 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Fluid Dynamics

Authors & Affiliations

Songze Chen1,*, Zhaoli Guo1,†, and Kun Xu2,‡

  • 1State Key Laboratory of Coal Combustion, School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China

  • *jacksongze@hust.edu.cn
  • zlguo@hust.edu.cn
  • makxu@ust.hk

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Issue

Vol. 94, Iss. 2 — August 2016

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