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The RSRR method for solving large-scale nonlinear eigenvalue problems in boundary element method

机译:边界元法中求解大型非线性特征值问题的RSRR方法

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摘要

The last few decades have witnessed significant advances in the boundary element (BE) based industrial product design and analysis. However, it is so far still challenging to solve the large-scale nonlinear eigenvalue problems (NEPs) that lie in the heart of the BE based structural and acoustic modal analyses. The challenge stems from the particular structure of the BE matrices, including the asymmetry which requires special attention in developing NEP solvers, the dense population which causes a high computational complexity, and the nonlinearity in frequency which poses a further restriction to the solvers. This paper aims to overcome the above challenge by using the recently developed resolvent sampling based Rayleigh-Ritz method (RSRR), combined with the fast boundary element method (BEM). Technical and numerical schemes to facilitate the practical application and reduce the computational cost are proposed and studied. Two benchmarks and an industrial-size rocket fairing model are provided to show the ease to use, good accuracy and computational efficiency of the proposed method.
机译:在过去的几十年中,目睹了基于边界元素(BE)的工业产品设计和分析的重大进步。然而,到目前为止,解决基于BE的结构和声学模态分析的核心问题的大规模非线性特征值问题(NEP)仍然具有挑战性。挑战源于BE矩阵的特殊结构,包括在开发NEP求解器时需要特别注意的不对称性,导致高计算复杂度的密集种群以及频率的非线性,这进一步限制了求解器。本文旨在通过使用最近开发的基于瑞利-里兹方法(RESRR)的分解剂采样与快速边界元方法(BEM)相结合来克服上述挑战。提出并研究了有助于实际应用并降低计算成本的技术和数值方案。提供了两个基准和一个工业规模的火箭整流罩模型,以显示该方法的易用性,良好的准确性和计算效率。

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