Large-Scale Cluster Parallel Strategy for Regularized Lattice Boltzmann Method with Sub-Grid Scale Model in Large Eddy Simulation
As an improved method of the lattice Boltzmann method (LBM), the regularized lattice Boltzmann method (RLBM) has been widely used to simulate fluid flow. For solving high Reynolds number problems, large eddy simulation (LES) and RLBM can be combined. The computation of fluid flow problems often requ...
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MDPI AG
2023-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/19/11078 |
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| author | Zhixiang Liu Yuanji Chen Wenjun Xiao Wei Song Yu Li |
| author_facet | Zhixiang Liu Yuanji Chen Wenjun Xiao Wei Song Yu Li |
| author_sort | Zhixiang Liu |
| collection | DOAJ |
| description | As an improved method of the lattice Boltzmann method (LBM), the regularized lattice Boltzmann method (RLBM) has been widely used to simulate fluid flow. For solving high Reynolds number problems, large eddy simulation (LES) and RLBM can be combined. The computation of fluid flow problems often requires a large number of computational grids and large-scale parallel clusters. Therefore, the high scalability parallel algorithm of RLBM with LES on a large-scale cluster has been proposed in this paper. The proposed parallel algorithm can solve complex flow problems with large-scale Cartesian grids and high Reynolds numbers. In order to achieve computational load balancing, the domain decomposition method (DDM) has been used in large-scale mesh generation. Three mesh generation strategies are adopted, namely 1D, 2D and 3D. Then, the buffer on the grid interface is introduced and the corresponding 1D, 2D and 3D parallel data exchange strategies are proposed. For the 3D lid-driven cavity flow and incompressible flow around a sphere under a high Reynolds number, the given parallel algorithm is analyzed in detail. Experimental results show that the proposed parallel algorithm has a high scalability and accuracy on hundreds of thousands of cores. |
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| language | English |
| last_indexed | 2024-03-10T21:48:16Z |
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| spelling | doaj.art-146d65d1e9ed42c6a04b47f0c097af3e2023-11-19T14:08:19ZengMDPI AGApplied Sciences2076-34172023-10-0113191107810.3390/app131911078Large-Scale Cluster Parallel Strategy for Regularized Lattice Boltzmann Method with Sub-Grid Scale Model in Large Eddy SimulationZhixiang Liu0Yuanji Chen1Wenjun Xiao2Wei Song3Yu Li4East China Sea Forecasting and Disaster Reduction Center, Ministry of Natural Resources, Shanghai 200136, ChinaCollege of Information Technology, Shanghai Ocean University, Shanghai 201306, ChinaEast China Sea Forecasting and Disaster Reduction Center, Ministry of Natural Resources, Shanghai 200136, ChinaCollege of Information Technology, Shanghai Ocean University, Shanghai 201306, ChinaCollege of Information Technology, Shanghai Ocean University, Shanghai 201306, ChinaAs an improved method of the lattice Boltzmann method (LBM), the regularized lattice Boltzmann method (RLBM) has been widely used to simulate fluid flow. For solving high Reynolds number problems, large eddy simulation (LES) and RLBM can be combined. The computation of fluid flow problems often requires a large number of computational grids and large-scale parallel clusters. Therefore, the high scalability parallel algorithm of RLBM with LES on a large-scale cluster has been proposed in this paper. The proposed parallel algorithm can solve complex flow problems with large-scale Cartesian grids and high Reynolds numbers. In order to achieve computational load balancing, the domain decomposition method (DDM) has been used in large-scale mesh generation. Three mesh generation strategies are adopted, namely 1D, 2D and 3D. Then, the buffer on the grid interface is introduced and the corresponding 1D, 2D and 3D parallel data exchange strategies are proposed. For the 3D lid-driven cavity flow and incompressible flow around a sphere under a high Reynolds number, the given parallel algorithm is analyzed in detail. Experimental results show that the proposed parallel algorithm has a high scalability and accuracy on hundreds of thousands of cores.https://www.mdpi.com/2076-3417/13/19/11078parallel computingregularized lattice Boltzmann methodlarge eddy simulationdomain decomposition method |
| spellingShingle | Zhixiang Liu Yuanji Chen Wenjun Xiao Wei Song Yu Li Large-Scale Cluster Parallel Strategy for Regularized Lattice Boltzmann Method with Sub-Grid Scale Model in Large Eddy Simulation Applied Sciences parallel computing regularized lattice Boltzmann method large eddy simulation domain decomposition method |
| title | Large-Scale Cluster Parallel Strategy for Regularized Lattice Boltzmann Method with Sub-Grid Scale Model in Large Eddy Simulation |
| title_full | Large-Scale Cluster Parallel Strategy for Regularized Lattice Boltzmann Method with Sub-Grid Scale Model in Large Eddy Simulation |
| title_fullStr | Large-Scale Cluster Parallel Strategy for Regularized Lattice Boltzmann Method with Sub-Grid Scale Model in Large Eddy Simulation |
| title_full_unstemmed | Large-Scale Cluster Parallel Strategy for Regularized Lattice Boltzmann Method with Sub-Grid Scale Model in Large Eddy Simulation |
| title_short | Large-Scale Cluster Parallel Strategy for Regularized Lattice Boltzmann Method with Sub-Grid Scale Model in Large Eddy Simulation |
| title_sort | large scale cluster parallel strategy for regularized lattice boltzmann method with sub grid scale model in large eddy simulation |
| topic | parallel computing regularized lattice Boltzmann method large eddy simulation domain decomposition method |
| url | https://www.mdpi.com/2076-3417/13/19/11078 |
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