移动最小二乘辅助有限元法:预测存在固体部分的流场的有力手段

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Mehdi Mostafaiyan, Sven Wießner, Gert Heinrich
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引用次数: 0

摘要

在移动最小二乘(MLS)插值函数的帮助下,开发了一种二维有限元代码,用于考虑流动域中静止或移动固体体的影响。同时,网格或网格与固体体的形状无关。我们分两步实现这一目标。第一步,我们使用 MLS 插值来增强压力 (P) 和速度 (V) 的形状函数。通过这种方法,我们可以捕捉到流域中的不同不连续性。在我们之前的出版物中,我们将这种技术命名为 PVMLS 方法(通过 MLS 插值增强压力和速度形状函数),并对其进行了详细描述。第二步,我们修改了 PVMLS 方法(M-PVMLS 方法),以考虑流域中固体部分的影响。为了评估新方法的性能,我们将 M-PVMLS 方法的结果与使用边界拟合网格的有限元代码进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Moving least-squares aided finite element method: A powerful means to predict flow fields in the presence of a solid part

Moving least-squares aided finite element method: A powerful means to predict flow fields in the presence of a solid part

Moving least-squares aided finite element method: A powerful means to predict flow fields in the presence of a solid part

With the assistance of the moving least-squares (MLS) interpolation functions, a two-dimensional finite element code is developed to consider the effects of a stationary or moving solid body in a flow domain. At the same time, the mesh or grid is independent of the shape of the solid body. We achieve this goal in two steps. In the first step, we use MLS interpolants to enhance the pressure (P) and velocity (V) shape functions. By this means, we capture different discontinuities in a flow domain. In our previous publications, we have named this technique the PVMLS method (pressure and velocity shape functions enhanced by the MLS interpolants) and described it thoroughly. In the second step, we modify the PVMLS method (the M-PVMLS method) to consider the effect of a solid part(s) in a flow domain. To evaluate the new method's performance, we compare the results of the M-PVMLS method with a finite element code that uses boundary-fitted meshes.

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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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