Damage identification of a concrete arch beam based on frequency response functions and artificial neural networks

Nguyen, VV; Dackermann, U; Li, J; Alamdari, MM; Mustapha, S; Runcie, P; Ye, L

Damage identification of a concrete arch beam based on frequency response functions and artificial neural networks

Nguyen, VV Dackermann, U

Li, J

Alamdari, MM Mustapha, S Runcie, P Ye, L

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Publication Type:: Journal Article
Citation:: Electronic Journal of Structural Engineering, 2015, 14 (1), pp. 75 - 84
Issue Date:: 2015-01-01

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	Published_Paper.pdf	Published Version	2.22 MB	Adobe PDF	View/Open
	ANSHMSI03_Accepted_Version.pdf	Accepted Manuscript Version	2.91 MB	Adobe PDF	View/Open

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Field	Value	Language
dc.contributor.author	Nguyen, VV	en_US
dc.contributor.author	Dackermann, U https://orcid.org/0000-0003-4406-4738	en_US
dc.contributor.author	Li, J https://orcid.org/0000-0002-2526-3048	en_US
dc.contributor.author	Alamdari, MM	en_US
dc.contributor.author	Mustapha, S	en_US
dc.contributor.author	Runcie, P	en_US
dc.contributor.author	Ye, L	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	Electronic Journal of Structural Engineering, 2015, 14 (1), pp. 75 - 84	en_US
dc.identifier.uri	http://hdl.handle.net/10453/40123
dc.description.abstract	This paper presents a vibration-based structural health monitoring (SHM) technique for the identification of damage in a concrete arch beam replica section of the Sydney Harbour Bridge. The proposed technique uses residual frequency response functions (FRFs) combined with principal component analysis (PCA) to form a damage specific feature (DSF) that is used as an input parameter to artificial neural networks (ANNs). Extensive laboratory testing and numerical modelling are undertaken to validate the method. In the proposed technique, FRFs are obtained by the standard modal testing and damage is identified using ANNs that innovatively map the DSF to the severity of damage (length of damage cut). The results of the experimental and numerical validation show that the proposed technique can successfully quantify damage induced to a concrete arch beam simulating a real life structural component of the Sydney Harbour Bridge.	en_US
dc.relation.ispartof	Electronic Journal of Structural Engineering	en_US
dc.subject.classification	Civil Engineering	en_US
dc.title	Damage identification of a concrete arch beam based on frequency response functions and artificial neural networks	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	14	en_US
utslib.for	0905 Civil Engineering	en_US
pubs.embargo.period	Not known	en_US
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
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	14	en_US

Abstract:

This paper presents a vibration-based structural health monitoring (SHM) technique for the identification of damage in a concrete arch beam replica section of the Sydney Harbour Bridge. The proposed technique uses residual frequency response functions (FRFs) combined with principal component analysis (PCA) to form a damage specific feature (DSF) that is used as an input parameter to artificial neural networks (ANNs). Extensive laboratory testing and numerical modelling are undertaken to validate the method. In the proposed technique, FRFs are obtained by the standard modal testing and damage is identified using ANNs that innovatively map the DSF to the severity of damage (length of damage cut). The results of the experimental and numerical validation show that the proposed technique can successfully quantify damage induced to a concrete arch beam simulating a real life structural component of the Sydney Harbour Bridge.

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http://hdl.handle.net/10453/40123