Subgrid-scale model for large eddy simulations of incompressible turbulent flows within the lattice Boltzmann framework

Large eddy simulations are a popular method for turbulent simulations because of their accuracy and efficiency. In this paper, a coupling algorithm is proposed that combines nonequilibrium moments (NM) and the volumetric strain-stretching (VSS) model within the framework of the lattice Boltzmann method (LBM). This algorithm establishes a relation between the NM and the eddy viscosity by using a special calculation form of the VSS model and Chapman-Enskog analysis. The coupling algorithm is validated in three typical flow cases: freely decaying homogeneous isotropic turbulence, homogeneous isotropic turbulence with body forces, and incompressible turbulent channel flow at Re_{τ}=180. The results show that the coupling algorithm is accurate and efficient when compared with the results of direct numerical simulations. Using calculation format of the eddy viscosity, a uniform calculation format is used for each grid point of the flow field during the modeling process. The modeling process uses only the local distribution function to obtain the local eddy viscosity coefficients without any additional processing on the boundary, while optimizing the memory access process to fit the inherent parallelism of the LBM. The efficiency of the calculation is improved by about 20% compared to the central difference method within the lattice Boltzmann framework for calculating the eddy viscosity.

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Publication Details

Journal
Physical review. E
Published
2024-10-11
DOI
https://doi.org/10.1103/physreve.110.045305
Citations
2
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
0.75

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article

Subgrid-scale model for large eddy simulations of incompressible turbulent flows within the lattice Boltzmann framework

Fan Zhang, Haibao Hu, Xiaopeng Chen, Heng Zhang
2 citations
Physical review. E
Lattice Boltzmann Simulation Studies
0.75
article

Subgrid-scale model for large eddy simulations of incompressible turbulent flows within the lattice Boltzmann framework

Fan Zhang, Haibao Hu, Xiaopeng Chen, Heng Zhang
article en
2 citations

Abstract

Large eddy simulations are a popular method for turbulent simulations because of their accuracy and efficiency. In this paper, a coupling algorithm is proposed that combines nonequilibrium moments (NM) and the volumetric strain-stretching (VSS) model within the framework of the lattice Boltzmann method (LBM). This algorithm establishes a relation between the NM and the eddy viscosity by using a special calculation form of the VSS model and Chapman-Enskog analysis. The coupling algorithm is validated in three typical flow cases: freely decaying homogeneous isotropic turbulence, homogeneous isotropic turbulence with body forces, and incompressible turbulent channel flow at Re_{τ}=180. The results show that the coupling algorithm is accurate and efficient when compared with the results of direct numerical simulations. Using calculation format of the eddy viscosity, a uniform calculation format is used for each grid point of the flow field during the modeling process. The modeling process uses only the local distribution function to obtain the local eddy viscosity coefficients without any additional processing on the boundary, while optimizing the memory access process to fit the inherent parallelism of the LBM. The efficiency of the calculation is improved by about 20% compared to the central difference method within the lattice Boltzmann framework for calculating the eddy viscosity.

Physical review. EVol. 110(4)
Northwestern Polytechnical University (CN)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, Fundamental Research Funds for the Central Universities, Natural Science Basic Research Program of Shaanxi Province
Openalex Percentile: Top 32%
Lattice Boltzmann Simulation Studies
0.75
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Subgrid-scale model for large eddy simulations of incompressible turbulent flows within the lattice Boltzmann framework — Fan Zhang, Haibao Hu, et al. · Physical review. E (2024) | TGRS Research Map | TGRS