Lattice Boltzmann model capable of mesoscopic vorticity computation

Cheng Peng, Zhaoli Guo, and Lian-Ping Wang
Phys. Rev. E 96, 053304 – Published 6 November 2017

Abstract

It is well known that standard lattice Boltzmann (LB) models allow the strain-rate components to be computed mesoscopically (i.e., through the local particle distributions) and as such possess a second-order accuracy in strain rate. This is one of the appealing features of the lattice Boltzmann method (LBM) which is of only second-order accuracy in hydrodynamic velocity itself. However, no known LB model can provide the same quality for vorticity and pressure gradients. In this paper, we design a multiple-relaxation time LB model on a three-dimensional 27-discrete-velocity (D3Q27) lattice. A detailed Chapman-Enskog analysis is presented to illustrate all the necessary constraints in reproducing the isothermal Navier-Stokes equations. The remaining degrees of freedom are carefully analyzed to derive a model that accommodates mesoscopic computation of all the velocity and pressure gradients from the nonequilibrium moments. This way of vorticity calculation naturally ensures a second-order accuracy, which is also proven through an asymptotic analysis. We thus show, with enough degrees of freedom and appropriate modifications, the mesoscopic vorticity computation can be achieved in LBM. The resulting model is then validated in simulations of a three-dimensional decaying Taylor-Green flow, a lid-driven cavity flow, and a uniform flow passing a fixed sphere. Furthermore, it is shown that the mesoscopic vorticity computation can be realized even with single relaxation parameter.

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  • Received 21 September 2016
  • Revised 3 August 2017

DOI:https://doi.org/10.1103/PhysRevE.96.053304

©2017 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

Cheng Peng

  • Department of Mechanical Engineering, University of Delaware, Newark, Delaware 19716-3140, USA

Zhaoli Guo

  • State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan, People's Republic of China

Lian-Ping Wang

  • Department of Mechanical Engineering, University of Delaware, Newark, Delaware 19716-3140, USA and State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan, People's Republic of China

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Vol. 96, Iss. 5 — November 2017

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