Comparison of the lattice Boltzmann equation and discrete unified gas-kinetic scheme methods for direct numerical simulation of decaying turbulent flows

Peng Wang, Lian-Ping Wang, and Zhaoli Guo
Phys. Rev. E 94, 043304 – Published 13 October 2016

Abstract

The main objective of this work is to perform a detailed comparison of the lattice Boltzmann equation (LBE) and the recently developed discrete unified gas-kinetic scheme (DUGKS) methods for direct numerical simulation (DNS) of the decaying homogeneous isotropic turbulence and the Kida vortex flow in a periodic box. The flow fields and key statistical quantities computed by both methods are compared with those from the pseudospectral method at both low and moderate Reynolds numbers. The results show that the LBE is more accurate and efficient than the DUGKS, but the latter has a superior numerical stability, particularly for high Reynolds number flows. In addition, we conclude that the DUGKS can adequately resolve the flow when the minimum spatial resolution parameter kmaxη>3, where kmax is the maximum resolved wave number and η is the flow Kolmogorov length. This resolution requirement can be contrasted with the requirements of kmaxη>1 for the pseudospectral method and kmaxη>2 for the LBE. It should be emphasized that although more validations should be conducted before the DUGKS can be called a viable tool for DNS of turbulent flows, the present work contributes to the overall assessment of the DUGKS, and it provides a basis for further applications of DUGKS in studying the physics of turbulent flows.

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  • Received 17 December 2015

DOI:https://doi.org/10.1103/PhysRevE.94.043304

©2016 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Fluid Dynamics

Authors & Affiliations

Peng Wang1, Lian-Ping Wang1,2, and Zhaoli Guo1,*

  • 1State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2Department of Mechanical Engineering, University of Delaware, Newark, Delaware 19716, USA

  • *zlguo@hust.edu.cn

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Vol. 94, Iss. 4 — October 2016

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