Multiple Damaged Cables Identification in Cable-Stayed Bridges Using Basis Vector Matrix Method.

Ren, J; Zhu, X; Li, S

Multiple Damaged Cables Identification in Cable-Stayed Bridges Using Basis Vector Matrix Method.

Ren, J Zhu, X

Li, S

Permalink

Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Sensors (Basel), 2023, 23, (2), pp. 860
Issue Date:: 2023-01-11

Recently Added

	Filename	Description	Size
	sensors-23-00860.pdf	Published version	2.6 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is new to OPUS and is not currently available.

Full metadata record

Field	Value	Language
dc.contributor.author	Ren, J
dc.contributor.author	Zhu, X https://orcid.org/0000-0001-5083-9320
dc.contributor.author	Li, S
dc.date.accessioned	2023-02-20T01:41:31Z
dc.date.available	2023-01-05
dc.date.available	2023-02-20T01:41:31Z
dc.date.issued	2023-01-11
dc.identifier.citation	Sensors (Basel), 2023, 23, (2), pp. 860
dc.identifier.issn	1424-8220
dc.identifier.issn	1424-8220
dc.identifier.uri	http://hdl.handle.net/10453/166260
dc.description.abstract	A new damaged cable identification method using the basis vector matrix (BVM) is proposed to identify multiple damaged cables in cable-stayed bridges. The relationships between the cable tension stiffness and the girder bending strain of the cable-stayed bridge are established using a force method. The difference between the maximum bending strains of the bridges with intact and damaged cables is used to obtain the damage index vectors (DIXVs). Then, BVM is obtained by the normalized DIXV. Finally, the damage indicator vector (DIV) is obtained by DIXV and BVM to identify the damaged cables. The damage indicator is substituted into the damage severity function to identify the corresponding damage severity. A field cable-stayed bridge is used to verify the proposed method. The three-dimensional finite element model is established using ANSYS, and the model is validated using the field measurements. The validated model is used to simulate the strain response of the bridge with different damage scenarios subject to a moving vehicle load, including one, two, three, and four damaged cables with damage severity of 10%, 20%, and 30%, respectively. The noise effect is also discussed. The results show that the BVM method has good anti-noise capability and robustness.
dc.format	Electronic
dc.language	eng
dc.publisher	MDPI
dc.relation	http://purl.org/au-research/grants/arc/DP160103197
dc.relation	http://purl.org/au-research/grants/arc/DP220102045
dc.relation.ispartof	Sensors (Basel)
dc.relation.isbasedon	10.3390/s23020860
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.rights	Copyright: © 2023 by the authors. Li‐ censee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and con‐ ditions of the Creative Commons At‐ tribution (CC BY) license (https://cre‐ ativecommons.org/licenses/by/4.0/).
dc.subject	0301 Analytical Chemistry, 0502 Environmental Science and Management, 0602 Ecology, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering
dc.subject.classification	Analytical Chemistry
dc.title	Multiple Damaged Cables Identification in Cable-Stayed Bridges Using Basis Vector Matrix Method.
dc.type	Journal Article
utslib.citation.volume	23
utslib.location.activity	Switzerland
utslib.for	0301 Analytical Chemistry
utslib.for	0502 Environmental Science and Management
utslib.for	0602 Ecology
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	recently_added	*
dc.date.updated	2023-02-20T01:41:29Z
pubs.issue	2
pubs.publication-status	Published online
pubs.volume	23
utslib.citation.issue	2

Abstract:

A new damaged cable identification method using the basis vector matrix (BVM) is proposed to identify multiple damaged cables in cable-stayed bridges. The relationships between the cable tension stiffness and the girder bending strain of the cable-stayed bridge are established using a force method. The difference between the maximum bending strains of the bridges with intact and damaged cables is used to obtain the damage index vectors (DIXVs). Then, BVM is obtained by the normalized DIXV. Finally, the damage indicator vector (DIV) is obtained by DIXV and BVM to identify the damaged cables. The damage indicator is substituted into the damage severity function to identify the corresponding damage severity. A field cable-stayed bridge is used to verify the proposed method. The three-dimensional finite element model is established using ANSYS, and the model is validated using the field measurements. The validated model is used to simulate the strain response of the bridge with different damage scenarios subject to a moving vehicle load, including one, two, three, and four damaged cables with damage severity of 10%, 20%, and 30%, respectively. The noise effect is also discussed. The results show that the BVM method has good anti-noise capability and robustness.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/166260