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Nonlinear eigenvalue analysis for spectral element method
Computers & Structures ( IF 4.4 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.compstruc.2020.106367
Avisek Mukherjee , Soumyadipta Sarkar , Arnab Banerjee

Abstract Spectral element method (SEM) is a robust and efficient mathematical technique for dynamic analysis of structures in frequency domain. Unlike finite element method (FEM), in SEM, the dynamic stiffness matrix forms a nonlinear eigenvalue problem (NLEP) to compute the natural frequencies and vibration modes of the structure which cannot be solved using linear numerical eigen-solvers. In this paper, two distinct numerical methods, i.e. (1) a root finding method of rational polynomial functions and (2) a linearization of Lagrange matrix interpolating polynomials, have been used to compute the eigenvalues of a problem more efficiently employing SEM. These proposed methods can solve NLEP in a stable, efficient and accurate way even in the presence of singularities. The accuracy of these methods are numerically evaluated by comparing with the solutions from the modal analysis using FEM.

中文翻译:

谱元法的非线性特征值分析

摘要 谱元法(SEM)是一种稳健而高效的数学技术,可用于结构的频域动态分析。与有限元法 (FEM) 不同,在 SEM 中,动态刚度矩阵形成非线性特征值问题 (NLEP) 来计算结构的固有频率和振动模式,这是使用线性数值特征求解器无法解决的。在本文中,两种不同的数值方法,即(1)有理多项式函数的求根方法和(2)拉格朗日矩阵插值多项式的线性化,已被用于更有效地使用 SEM 计算问题的特征值。即使在存在奇点的情况下,这些提出的方法也能以稳定、有效和准确的方式求解 NLEP。
更新日期:2021-01-01
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