基于空间和拉格朗日链接插值流相结合的非一致性四叉树网格格点Boltzmann-overset方法的集成

IF 2.5 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Abdallah ElSherbiny, Sébastien Leclaire
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引用次数: 0

摘要

本研究将二维晶格玻尔兹曼反演方法与非一致性四叉树网格相结合,以解决涉及动态边界的流体流动问题。晶格玻尔兹曼偏移法采用两个网格,一个固定的,一个可移动的,由于双网格的设置可以计算密集。采用四叉树网格来减少节点数量,以缓解这一资源需求问题。然而,四叉树的使用带来了与不同的细胞水平和空间位移相关的挑战。解决这些挑战的方法之一涉及使用插值粒子分布函数流技术。本文介绍了一种插值方法,该方法最初采用空间插值作为预测步骤。随后,利用该空间预测插值值进行拉格朗日链校正插值。此外,该研究还引入了一种节点分裂技术,旨在提高所提出的插值方案的效率。该方法的精度顺序保持不变,没有任何二阶下降,并且围绕旋转圆柱体的流动验证了该方法,因为结果与先前发布的数据一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of Lattice Boltzmann-overset method with non-conforming quadtree mesh based on the combination of spatial and Lagrangian-link interpolated streaming technique
This study integrates the two-dimensional Lattice Boltzmann overset approach with a non-conforming quadtree mesh to address fluid flow problems involving dynamic boundaries. The Lattice Boltzmann overset method employs two grids, one fixed and one movable, which can be computationally intensive due to the dual grid setup. A quadtree mesh is employed to reduce the number of nodes to mitigate this resource-demanding issue. Nonetheless, the use of the quadtree introduces challenges related to varying cell levels and spatial displacements. One of the approaches to address these challenges involves the use of an interpolated particle distribution function streaming technique. This study introduces an interpolation method, which initially applies spatial interpolation as a predictor step. Subsequently, this spatial predictor-interpolated value is utilized for a Lagrangian-link corrector interpolation. Furthermore, the study introduces a node-splitting technique aimed at enhancing the efficiency of the proposed interpolation scheme. The method's order of accuracy is maintained without any degradation as a second order, and the flow around a rotating cylinder validates the method as the results align with previously published data.
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来源期刊
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
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