An efficient method for computing eigenpair sensitivity of asymmetric damped systems with repeated eigenvalues

IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Zhengguang Li , Siu-Kai Lai , Baisheng Wu
{"title":"An efficient method for computing eigenpair sensitivity of asymmetric damped systems with repeated eigenvalues","authors":"Zhengguang Li ,&nbsp;Siu-Kai Lai ,&nbsp;Baisheng Wu","doi":"10.1016/j.ymssp.2024.111955","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a new algorithm for computing the sensitivity of eigenpairs in asymmetric damped systems with repeated eigenvalues. The derivatives of eigenvectors in such systems are divided into particular and homogeneous solutions. An effective strategy for constructing non-singular coefficient matrices is proposed to calculate the particular solutions. The present method only needs to consider the modal information of repeated frequencies for calculating eigenpair sensitivity, it does not need to expand the order of the system and rearrange the matrices. Hence, we can minimize the “fill-in” operation to the sparse matrices of the system, this facilitates the integration of this algorithm into existing commercial software packages. Two rotor dynamic systems are considered in this work to demonstrate the effectiveness of the proposed algorithm.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"224 ","pages":"Article 111955"},"PeriodicalIF":7.9000,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanical Systems and Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0888327024008537","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents a new algorithm for computing the sensitivity of eigenpairs in asymmetric damped systems with repeated eigenvalues. The derivatives of eigenvectors in such systems are divided into particular and homogeneous solutions. An effective strategy for constructing non-singular coefficient matrices is proposed to calculate the particular solutions. The present method only needs to consider the modal information of repeated frequencies for calculating eigenpair sensitivity, it does not need to expand the order of the system and rearrange the matrices. Hence, we can minimize the “fill-in” operation to the sparse matrices of the system, this facilitates the integration of this algorithm into existing commercial software packages. Two rotor dynamic systems are considered in this work to demonstrate the effectiveness of the proposed algorithm.
计算具有重复特征值的非对称阻尼系统特征对敏感度的高效方法
本文提出了一种计算具有重复特征值的非对称阻尼系统中特征对灵敏度的新算法。此类系统中的特征向量导数分为特定解和同质解。为计算特殊解,提出了构建非奇异系数矩阵的有效策略。本方法在计算特征对灵敏度时只需考虑重复频率的模态信息,而无需扩大系统的阶次和重新排列矩阵。因此,我们可以最大限度地减少对系统稀疏矩阵的 "填充 "操作,这有助于将本算法集成到现有的商业软件包中。本研究考虑了两个转子动态系统,以证明所提算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信