A scalable parallel unstructured finite volume lattice Boltzmann method for three‐dimensional incompressible flow simulations

Xu, Lei; Li, Jingzhi; Chen, Rongliang

doi:10.1002/fld.4996

Cited by 7 publications

(1 citation statement)

References 40 publications

(48 reference statements)

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“…Figure 20 shows the streamline diagram of the flow-pass sphere in the 3D flow field. For the details of the flow geometry and mechanical properties, the length X s of the recirculation region and the drag coefficient C d were selected to compare the simulation results with the previous results of A. Gilmanov et al [53] and Lei Xu et al [54] who adopted a general reconstruction algorithm with complex 3D immersed boundaries on Cartesian grids and a scalable parallel unstructured finite-volume LBM, respectively (see Figure 21). It can be concluded that as the Reynolds number increased, the recirculation region volume became larger, and the drag coefficient decreased.…”

Section: Flow Past a Sphere In Three-dimensionalmentioning

confidence: 99%

Parallel Scheme for Multi-Layer Refinement Non-Uniform Grid Lattice Boltzmann Method Based on Load Balancing

et al. 2022

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The large-scale numerical simulation of complex flows has been an important research area in scientific and engineering computing. The lattice Boltzmann method (LBM) as a mesoscopic method for solving flow field problems has become a relatively new research direction in computational fluid dynamics. The multi-layer grid-refinement strategy deals with different-level of computing complexity through multi-scale grids, which can be used to solve the complex flow field of the non-uniform grid LBM without destroying the parallelism of the standard LBM. It also avoids the inefficiencies and waste of computational resources associated with standard LBMs using uniform and homogeneous Cartesian grids. This paper proposed a multi-layer grid-refinement strategy for LBM and implemented the corresponding parallel algorithm with load balancing. Taking a parallel scheme for two-dimensional non-uniform meshes as an example, this method presented the implementation details of the proposed parallel algorithm, including a partitioning scheme for evaluating the load in a one-dimensional direction and an interpolation scheme based on buffer optimization. Simply by expanding the necessary data transfer of distribution functions and macroscopic quantities for non-uniform grids in different parallel domains, our method could be used to conduct numerical simulations of the flow field problems with complex geometry and achieved good load-balancing results. Among them, the weak scalability performance could be as high as 88.90% in a 16-threaded environment, while the numerical simulation with a specific grid structure still had a parallel efficiency of 77.4% when the parallel domain was expanded to 16 threads.

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Section: Flow Past a Sphere In Three-dimensionalmentioning

confidence: 99%

Parallel Scheme for Multi-Layer Refinement Non-Uniform Grid Lattice Boltzmann Method Based on Load Balancing

et al. 2022

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GPU parallel implementation of a finite volume lattice Boltzmann method for incompressible flows

Wen,

Shen,

2024

Computers & Fluids

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A parallel discrete unified gas kinetic scheme on unstructured grid for inviscid high-speed compressible flow simulation

Zhang

Chen

et al. 2022

Physics of Fluids

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The discrete unified gas kinetic scheme (DUGKS) is a recently devised approach to simulate multiscale flows based on the kinetic models, which also shows distinct features for continuum flows. Most of the existing DUGKS are sequential or based on structured grids, thus limiting their scope of application in engineering. In this paper, a parallel DUGKS for inviscid high-speed compressible flows on unstructured grids is proposed. In the framework of DUGKS, the gradients of the distribution functions are calculated by a least-square method. To parallelize the method, a graph-based partitioning method is employed to guarantee the load balancing and minimize the communication among processors. The method is validated by several benchmark problems, i.e., a two-dimensional (2D) Riemann problem, 2D subsonic flows passing two benchmark airfoils, a 2D regular shock reflection problem, 2D supersonic flows (Mach numbers are 3 and 5) around a cylinder, an explosion in a three-dimensional (3D) box, a 3D subsonic flow around the Office National d'Etudes et de Recherches Aérospatiales (ONERA) M6 wing, and a 3D hypersonic flow (Mach number is 10) around a hemisphere. The numerical results show good agreements with the published results and the present method is robust for a wide range of Mach number, from subsonic to hypersonic. The parallel performance results show that the proposed method is highly parallel scalable, where an almost linear scalability with 93% parallel efficiency is achieved for a 3D problem with over 55 million tetrahedrons on a supercomputer with up to 4800 processors.

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A scalable parallel unstructured finite volume lattice Boltzmann method for three‐dimensional incompressible flow simulations

Cited by 7 publications

References 40 publications

Parallel Scheme for Multi-Layer Refinement Non-Uniform Grid Lattice Boltzmann Method Based on Load Balancing

Parallel Scheme for Multi-Layer Refinement Non-Uniform Grid Lattice Boltzmann Method Based on Load Balancing

GPU parallel implementation of a finite volume lattice Boltzmann method for incompressible flows

A parallel discrete unified gas kinetic scheme on unstructured grid for inviscid high-speed compressible flow simulation

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