Using a moving load to simultaneously detect location and severity of damage in a simply supported beam

Mousavi, M; Holloway, D; Olivier, JC

Using a moving load to simultaneously detect location and severity of damage in a simply supported beam

Mousavi, M

Holloway, D Olivier, JC

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Publisher:: SAGE Publications
Publication Type:: Journal Article
Citation:: Journal of Vibration and Control, 2019, 25, (15), pp. 2108-2123
Issue Date:: 2019-08-01

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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.date.accessioned	2022-07-25T05:10:04Z
dc.date.available	2022-07-25T05:10:04Z
dc.date.issued	2019-08-01
dc.identifier.citation	Journal of Vibration and Control, 2019, 25, (15), pp. 2108-2123
dc.identifier.issn	1077-5463
dc.identifier.issn	1741-2986
dc.identifier.uri	http://hdl.handle.net/10453/159151
dc.description.abstract	This paper demonstrates the feasibility of simultaneously identifying both the location and severity of structural damage in a beam by using two independent moving load experiments. First, a simple but sufficiently accurate single degree of freedom model is presented to simulate the structure efficiently over a wide range of relevant inputs. We then introduce a damage sensitive feature (DSF) based on the integral of the velocity time history of the beam at its midspan when the load moves over the beam. A critical velocity, a function only of the beam’s first natural frequency and length, is obtained for the proposed DSF, upon which the damage can be located more accurately. The only required data for the damage detection is the midspan velocity-time history of the cracked beam subjected to a moving load, and the midspan static deflection of the intact beam subjected to a load of the same magnitude. In the last section of this paper, the capability of the proposed DSF is examined in the presence of noise. The results demonstrate the capability of the proposed method to find both the damage location and severity successfully, and methods for further reducing the effects of noise are suggested.
dc.language	English
dc.publisher	SAGE Publications
dc.relation.ispartof	Journal of Vibration and Control
dc.relation.isbasedon	10.1177/1077546319849772
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering
dc.subject.classification	Acoustics
dc.title	Using a moving load to simultaneously detect location and severity of damage in a simply supported beam
dc.type	Journal Article
utslib.citation.volume	25
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-07-25T05:10:03Z
pubs.issue	15
pubs.publication-status	Published
pubs.volume	25
utslib.citation.issue	15

Abstract:

This paper demonstrates the feasibility of simultaneously identifying both the location and severity of structural damage in a beam by using two independent moving load experiments. First, a simple but sufficiently accurate single degree of freedom model is presented to simulate the structure efficiently over a wide range of relevant inputs. We then introduce a damage sensitive feature (DSF) based on the integral of the velocity time history of the beam at its midspan when the load moves over the beam. A critical velocity, a function only of the beam’s first natural frequency and length, is obtained for the proposed DSF, upon which the damage can be located more accurately. The only required data for the damage detection is the midspan velocity-time history of the cracked beam subjected to a moving load, and the midspan static deflection of the intact beam subjected to a load of the same magnitude. In the last section of this paper, the capability of the proposed DSF is examined in the presence of noise. The results demonstrate the capability of the proposed method to find both the damage location and severity successfully, and methods for further reducing the effects of noise are suggested.

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http://hdl.handle.net/10453/159151