在高保真 FSI 模拟中将空气动力载荷映射到结构上的先进 RBF 方法

IF 1.8 Q3 MECHANICS
Fluids Pub Date : 2024-06-06 DOI:10.3390/fluids9060137
A. Chiappa, Andrea Lopez, C. Groth
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引用次数: 0

摘要

在流固耦合(FSI)应用中,可靠的数据交换是计算流体动力学(CFD)和计算结构力学(CSM)模块松散耦合的关键问题。本文比较了两种在不匹配网格上映射牵引力场的方法,即 RIBES 方法和 preCICE 算法,这两种方法都基于径向基函数 (RBF) 插值。这两种方法在映射过程中对平衡保持的控制程度不同,RIBES 算法的效果更好。测试台是一个参数化的双曲面几何体和一个风洞模型。在第二种情况下,测绘产生的力被用于加载 CSM 模型,以获取应力场和位移场。有限元计算结果的差异虽然不明显,但也是显而易见的,这表明在数据映射过程中保持平衡的准确性与结构输出之间存在关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced RBF Methods for Mapping Aerodynamic Loads onto Structures in High-Fidelity FSI Simulations
The reliable exchange of data is a crucial issue for the loose coupling of computational fluid dynamics (CFD) and computational structural mechanics (CSM) modules in fluid–structure interaction (FSI) applications. This paper presents a comparison between two methods for mapping the traction field across mismatching grids, namely the RIBES method and the preCICE algorithm, both based on radial basis function (RBF) interpolation. The two methods demonstrate different degrees of control over balance preservation during mapping, with the RIBES algorithm exhibiting greater efficacy. Test benches are a parametric double curved geometry and a wind tunnel mock-up. In this second case, forces from mapping are used to load a CSM model to retrieve stress and displacement fields. Differences in FEM results are appreciable although not significant, showing a correlation between the accuracy of balance preservation during data mapping and the structural output.
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来源期刊
Fluids
Fluids Engineering-Mechanical Engineering
CiteScore
3.40
自引率
10.50%
发文量
326
审稿时长
12 weeks
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