Hybrid method for wall local refinement in lattice Boltzmann method simulation

Author:

Lyu Changhao12ORCID,Liu Peiqing12,Hu Tianxiang123ORCID,Geng Xin12ORCID,Qu Qiuling12ORCID,Sun Tao12,Akkermans Rinie A. D.4ORCID

Affiliation:

1. Key Laboratory of Aero-Acoustics Ministry of Industry and Information Technology (Lu Shijia Laboratory), Beihang University (BUAA), Beijing 100191, People's Republic of China

2. Key Laboratory of Fluid Mechanics Ministry of Education, Beihang University (BUAA), Beijing 100191, People's Republic of China

3. Aircraft and Propulsion Laboratory, Ningbo Institute of Technology, Beihang University (BUAA), Ningbo 315800, People's Republic of China

4. Department of Automotive and Aeronautical Engineering, Hamburg University of Applied Sciences, Hamburg, Germany

Abstract

The recent development of the lattice Boltzmann method enables its widespread application in various industrial areas. However, in the simulation of complicated industrial problems, considerable grid numbers are required to achieve reasonable resolution in the near-wall region due to the lack of a local refinement method on the geometry. This study proposes a new hybrid grid refinement method, which comprises the reconstruction algorithm in refined near-wall nodes on the refinement interface and the in-domain interpolation multi-grid method to prevent the local distortion of the pseudo-wall among resolution levels. The proposed method is validated on a two-dimensional flat plate and NACA0012 airfoil at low and high Reynolds numbers. Furthermore, the aerodynamic and aeroacoustics of a pair of counter-rotating propellers are simulated with the proposed lattice Boltzmann method and compared with the results obtained using commercial software.

Funder

Key laboratory of Aeroacoustics AVIC Aerodynamics Research Institute

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering

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