{"title":"Symmetric structured finite element model updating with prescribed partial eigenvalues while maintaining no spillover","authors":"H. Lalhriatpuia, Tanay Saha","doi":"10.1016/j.cam.2025.116698","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50226,"journal":{"name":"Journal of Computational and Applied Mathematics","volume":"470 ","pages":"Article 116698"},"PeriodicalIF":2.1000,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational and Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0377042725002122","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
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.
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.