Correlation-Based Damage Identification and Quantification Using Modal Kinetic Energy Change
Description
Many existing damage identification or quantification methods can be employed only if the internal and external mass changes are negligible when tested at two different states of a structure. This paper presents a new Modal Kinetic Energy (MKE)-based method to detect and quantify damage using modal properties of structures, which can be employed even in situations when mass change is not more than a certain extent. A new damage sensitivity parameter has been developed using measured modal characteristics of baseline structure. The MKE change (MKEC) concept is then employed to locate damage and to estimate relative perturbation at each element. The relative damage extent vector is estimated by searching the best correlation between the analytical and experimental MKEC vectors with the help of genetic algorithm optimization tool. The extent of damage is calculated after computing damage scaling coefficient using measured eigenvalue change vector. A numerical study is carried out on a simply supported single span beam to confirm its performance under various test conditions. The robustness of the proposed MKE method and the significance of mass variation in the damage detection approach are evaluated by comparing the damage quantification results with a traditional approach. Finally, the proposed damage detection method is applied on a two-span simply supported beam for single and multiple damage scenarios by extracting the modal properties experimentally. The results revealed that the proposed approach is capable of detecting and estimating single and multiple damages with reasonable accuracy even in moderate noise contaminated and mass change environments.
Impact and interest:
Citation counts are sourced monthly from Scopus and Web of Science® citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
ID Code: | 206200 | ||||
---|---|---|---|---|---|
Item Type: | Contribution to Journal (Journal Article) | ||||
Refereed: | Yes | ||||
ORCID iD: |
|
||||
Measurements or Duration: | 32 pages | ||||
Keywords: | correlation approach, damage quantification, genetic algorithm, Modal kinetic energy, sensitivity matrix, structural health monitoring | ||||
DOI: | 10.1142/S0219455420420079 | ||||
ISSN: | 0219-4554 | ||||
Pure ID: | 72352480 | ||||
Divisions: | Current > Research Centres > Centre for Data Science Current > Research Centres > Centre for Materials Science Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Civil & Environmental Engineering |
||||
Copyright Owner: | 2020 World Scientific Publishing Company | ||||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||
Deposited On: | 12 Nov 2020 01:10 | ||||
Last Modified: | 29 Feb 2024 10:46 |
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page