三维点集曲面上的计算流体动力学

Hassan Bouchiba , Simon Santoso , Jean-Emmanuel Deschaud , Luisa Rocha-Da-Silva , François Goulette , Thierry Coupez
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引用次数: 4

摘要

计算流体动力学(CFD)在许多情况下需要手动设计3D模型,这是一项乏味的任务,需要特定的技能。在本文中,我们提出了一种直接在扫描的三维点云上进行CFD的新方法。所提出的方法构建了一个适用于点采样表面的各向异性体积四面体网格,而无需显式的表面重建步骤。表面由一种新的扩展隐式移动最小二乘(EIMLS)标量表示表示表示,该标量表示将函数的定义扩展到整个计算域,这使得在浸没边界流模拟中使用成为可能。我们提供的工作流程允许我们自动计算点采样几何图形周围的流量。它还可以通过有限数量的计算节点更好地控制表面周围的精度,这是CFD中的一个关键问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational fluid dynamics on 3D point set surfaces

Computational fluid dynamics (CFD) in many cases requires designing 3D models manually, which is a tedious task that requires specific skills. In this paper, we present a novel method for performing CFD directly on scanned 3D point clouds. The proposed method builds an anisotropic volumetric tetrahedral mesh adapted around a point-sampled surface, without an explicit surface reconstruction step. The surface is represented by a new extended implicit moving least squares (EIMLS) scalar representation that extends the definition of the function to the entire computational domain, which makes it possible for use in immersed boundary flow simulations. The workflow we present allows us to compute flows around point-sampled geometries automatically. It also gives a better control of the precision around the surface with a limited number of computational nodes, which is a critical issue in CFD.

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来源期刊
Journal of Computational Physics: X
Journal of Computational Physics: X Physics and Astronomy-Physics and Astronomy (miscellaneous)
CiteScore
6.10
自引率
0.00%
发文量
7
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