A state-of-the-art review on theory and engineering applications of eigenvalue and eigenvector derivatives

Eigenvalue and eigenvector derivatives with respect to system design variables and their applications have been and continue to be one of the core issues in the design, control and identification of practical engineering systems. Many different numerical methods have been developed to compute accura...

Full description

Saved in:
Bibliographic Details
Main Authors: Lin, Rongming, Mottershead, J. E., Ng, Teng Yong
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/161600
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-161600
record_format dspace
spelling sg-ntu-dr.10356-1616002022-09-09T06:39:53Z A state-of-the-art review on theory and engineering applications of eigenvalue and eigenvector derivatives Lin, Rongming Mottershead, J. E. Ng, Teng Yong School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Review Eigenvalues Eigenvalue and eigenvector derivatives with respect to system design variables and their applications have been and continue to be one of the core issues in the design, control and identification of practical engineering systems. Many different numerical methods have been developed to compute accurately and efficiently these required derivatives from which, a wide range of successful applications have been established. This paper reviews and examines these methods of computing eigenderivatives for undamped, viscously damped, nonviscously damped, fractional and nonlinear vibration systems, as well as defective systems, for both distinct and repeated eigenvalues. The underlying mathematical relationships among these methods are discussed, together with new theoretical developments. Major important applications of eigenderivatives to finite element model updating, structural design and modification prediction, performance optimization of structures and systems, optimal control system design, damage detection and fault diagnosis, as well as turbine bladed disk vibrations are examined. Existing difficulties are identified and measures are proposed to rectify them. Various examples are given to demonstrate the key theoretical concepts and major practical applications of concern. Potential further research challenges are identified with the purpose of concentrating future research effort in the most fruitful directions. Ministry of Education (MOE) The first and third authors gratefully acknowledge the financial support from the Singapore Ministry of Education through the award of research project grant AcRF Tier 1 RG183/17. 2022-09-09T06:39:53Z 2022-09-09T06:39:53Z 2020 Journal Article Lin, R., Mottershead, J. E. & Ng, T. Y. (2020). A state-of-the-art review on theory and engineering applications of eigenvalue and eigenvector derivatives. Mechanical Systems and Signal Processing, 138, 106536-. https://dx.doi.org/10.1016/j.ymssp.2019.106536 0888-3270 https://hdl.handle.net/10356/161600 10.1016/j.ymssp.2019.106536 2-s2.0-85075973442 138 106536 en RG183/17 Mechanical Systems and Signal Processing © 2019 Elsevier Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Review
Eigenvalues
spellingShingle Engineering::Mechanical engineering
Review
Eigenvalues
Lin, Rongming
Mottershead, J. E.
Ng, Teng Yong
A state-of-the-art review on theory and engineering applications of eigenvalue and eigenvector derivatives
description Eigenvalue and eigenvector derivatives with respect to system design variables and their applications have been and continue to be one of the core issues in the design, control and identification of practical engineering systems. Many different numerical methods have been developed to compute accurately and efficiently these required derivatives from which, a wide range of successful applications have been established. This paper reviews and examines these methods of computing eigenderivatives for undamped, viscously damped, nonviscously damped, fractional and nonlinear vibration systems, as well as defective systems, for both distinct and repeated eigenvalues. The underlying mathematical relationships among these methods are discussed, together with new theoretical developments. Major important applications of eigenderivatives to finite element model updating, structural design and modification prediction, performance optimization of structures and systems, optimal control system design, damage detection and fault diagnosis, as well as turbine bladed disk vibrations are examined. Existing difficulties are identified and measures are proposed to rectify them. Various examples are given to demonstrate the key theoretical concepts and major practical applications of concern. Potential further research challenges are identified with the purpose of concentrating future research effort in the most fruitful directions.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Lin, Rongming
Mottershead, J. E.
Ng, Teng Yong
format Article
author Lin, Rongming
Mottershead, J. E.
Ng, Teng Yong
author_sort Lin, Rongming
title A state-of-the-art review on theory and engineering applications of eigenvalue and eigenvector derivatives
title_short A state-of-the-art review on theory and engineering applications of eigenvalue and eigenvector derivatives
title_full A state-of-the-art review on theory and engineering applications of eigenvalue and eigenvector derivatives
title_fullStr A state-of-the-art review on theory and engineering applications of eigenvalue and eigenvector derivatives
title_full_unstemmed A state-of-the-art review on theory and engineering applications of eigenvalue and eigenvector derivatives
title_sort state-of-the-art review on theory and engineering applications of eigenvalue and eigenvector derivatives
publishDate 2022
url https://hdl.handle.net/10356/161600
_version_ 1744365411123593216