Symmetric structured finite element model updating with prescribed partial eigenvalues while maintaining no spillover

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-12-15 Epub Date: 2025-04-19 DOI:10.1016/j.cam.2025.116698
H. Lalhriatpuia, Tanay Saha
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Abstract

This paper focuses on the Finite Element Model Updating (FEMU) problem for undamped systems. We examine the challenge of updating symmetric structured models using only a few specified eigenvalues, ensuring that the models retain their fundamental structural characteristics and avoid any spillover effects. Notably, we have access to only a few eigenvalues of the updated model, with no prior knowledge of the corresponding eigenvectors. Our objective is to identify an updated model that incorporates the desired eigenvalues while keeping the unmeasured eigenvalues unchanged. To achieve this, we first establish an equivalent condition for the existence of solutions to the problem and characterize all the solutions provided they exist. Additionally, we reformulate the problem of minimizing the perturbations to the system matrices as a constrained optimization problem. We present several numerical examples to illustrate the effectiveness of our proposed method.
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对称结构有限元模型在保持无溢出的前提下,以规定的部分特征值进行更新
本文主要研究无阻尼系统的有限元模型更新问题。我们研究了仅使用几个指定特征值更新对称结构模型的挑战,以确保模型保留其基本结构特征并避免任何溢出效应。值得注意的是,我们只能访问更新模型的几个特征值,而没有相应特征向量的先验知识。我们的目标是确定一个更新的模型,该模型包含所需的特征值,同时保持未测量的特征值不变。为了实现这一点,我们首先建立了问题解存在的等价条件,并对存在的所有解进行了表征。此外,我们将系统矩阵的扰动最小化问题重新表述为约束优化问题。我们给出了几个数值例子来说明我们所提出的方法的有效性。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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