A Spline Method based on the Crack Induced Deflection for Bridge Damage Detection

Mousavi, M; Holloway, D; Olivier, JC; Gandomi, AH

A Spline Method based on the Crack Induced Deflection for Bridge Damage Detection

Mousavi, M

Holloway, D Olivier, JC Gandomi, AH

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Advances in Engineering Software, 2020, 149, pp. 102894-102894
Issue Date:: 2020-11-01

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Field	Value	Language
dc.contributor.author	Mousavi, M https://orcid.org/0000-0002-0436-5176
dc.contributor.author	Holloway, D
dc.contributor.author	Olivier, JC
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2020-10-22T02:22:58Z
dc.date.available	2020-10-22T02:22:58Z
dc.date.issued	2020-11-01
dc.identifier.citation	Advances in Engineering Software, 2020, 149, pp. 102894-102894
dc.identifier.issn	0965-9978
dc.identifier.issn	1873-5339
dc.identifier.uri	http://hdl.handle.net/10453/143457
dc.description.abstract	© 2020 Elsevier Ltd This paper proposes a novel method for damage detection on a simply supported beam subjected to a moving mass using multiple vibration data measured from a vehicle-bridge interaction (VBI) model. It is shown first that the integral of the difference between the deflection time history of the healthy and damaged beam reaches a local maximum at the location of the crack. As such, the integral of the difference between the vibration time history of the healthy and damaged beam at some dense points on the beam is required. However, practically the number of measured points is limited. Therefore, the data from VBI measured at a limited set of points have been interpolated at each time instant to estimate the deflection of other locations on the beam. It has been demonstrated through several simulations that the proposed method can detect both the location and severity of damage on the beam while considering the interaction between the moving mass and the bridge, as well as the effect of road roughness. It is also shown that the proposed method is fairly robust to noise in both damage localisation and quantification.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Advances in Engineering Software
dc.relation.isbasedon	10.1016/j.advengsoft.2020.102894
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Applied Mathematics
dc.title	A Spline Method based on the Crack Induced Deflection for Bridge Damage Detection
dc.type	Journal Article
utslib.citation.volume	149
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
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/A/DRsch The Data Science Institute
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-10-22T02:22:33Z
pubs.publication-status	Accepted
pubs.volume	149

Abstract:

© 2020 Elsevier Ltd This paper proposes a novel method for damage detection on a simply supported beam subjected to a moving mass using multiple vibration data measured from a vehicle-bridge interaction (VBI) model. It is shown first that the integral of the difference between the deflection time history of the healthy and damaged beam reaches a local maximum at the location of the crack. As such, the integral of the difference between the vibration time history of the healthy and damaged beam at some dense points on the beam is required. However, practically the number of measured points is limited. Therefore, the data from VBI measured at a limited set of points have been interpolated at each time instant to estimate the deflection of other locations on the beam. It has been demonstrated through several simulations that the proposed method can detect both the location and severity of damage on the beam while considering the interaction between the moving mass and the bridge, as well as the effect of road roughness. It is also shown that the proposed method is fairly robust to noise in both damage localisation and quantification.

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http://hdl.handle.net/10453/143457