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Discrete effects on boundary conditions of the lattice Boltzmann method for fluid flows with curved no-slip walls

Liang Wang, Shi Tao, Xuhui Meng, Kai Zhang, and Gui Lu
Phys. Rev. E 101, 063307 – Published 18 June 2020

Abstract

The lattice Boltzmann method (LBM) has been formulated as a powerful numerical tool to simulate incompressible fluid flows. However, it is still a critical issue for the LBM to overcome the discrete effects on boundary conditions successfully for curved no-slip walls. In this paper, we focus on the discrete effects of curved boundary conditions within the framework of the multiple-relaxation-time (MRT) model. We analyze in detail a single-node curved boundary condition [Zhao et al., Multiscale Model. Simul. 17, 854 (2019)] for predicting the Poiseuille flow and derive the numerical slip at the boundary dependent on a free parameter as well as the distance ratio and the relaxation times. An approach by virtue of the free parameter is then proposed to eliminate the slip velocity while with uniform relaxation parameters. The theoretical analysis also indicates that for previous curved boundary schemes only with the distance ratio and the halfway bounce-back (HBB) boundary scheme, the numerical slip cannot be removed with uniform relaxation times virtually. We further carried out some simulations to validate our theoretical derivations, and the numerical results for the case of straight and curved boundaries confirm our theoretical analysis. Finally, for fluid flows with curved boundary geometries, resorting to more degrees of freedom from the boundary scheme may have more potential to eliminate the discrete effect at the boundary with uniform relaxation times.

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  • Received 5 February 2020
  • Revised 21 April 2020
  • Accepted 20 May 2020

DOI:https://doi.org/10.1103/PhysRevE.101.063307

©2020 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

Liang Wang1,2, Shi Tao3, Xuhui Meng4, Kai Zhang1,2, and Gui Lu5,*

  • 1Beijing Key Laboratory of Emission Surveillance and Control for Thermal Power Generation, North China Electric Power University, Beijing 102206, China
  • 2School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
  • 3Guangdong Provincial Key Laboratory of Distributed Energy Systems, Dongguan University of Technology, Dongguan 523808, China
  • 4Division of Applied Mathematics, Brown University, Providence, Rhode Island 02912, USA
  • 5Key Laboratory of Condition Monitoring and Control for Power Plant Equipment of Ministry of Education, North China Electric Power University, Beijing 102206, China

  • *Corresponding author: lugui02@gmail.com

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Vol. 101, Iss. 6 — June 2020

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