Structural damage detection of controlled building structures using frequency response functions

Huang, Q; Xu, YL; Li, JC; Su, ZQ; Liu, HJ

Structural damage detection of controlled building structures using frequency response functions

Huang, Q Xu, YL Li, JC

Su, ZQ Liu, HJ

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Publication Type:: Journal Article
Citation:: Journal of Sound and Vibration, 2012, 331 (15), pp. 3476 - 3492
Issue Date:: 2012-07-16

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Field	Value	Language
dc.contributor.author	Huang, Q	en_US
dc.contributor.author	Xu, YL	en_US
dc.contributor.author	Li, JC https://orcid.org/0000-0002-2526-3048	en_US
dc.contributor.author	Su, ZQ	en_US
dc.contributor.author	Liu, HJ	en_US
dc.date.issued	2012-07-16	en_US
dc.identifier.citation	Journal of Sound and Vibration, 2012, 331 (15), pp. 3476 - 3492	en_US
dc.identifier.issn	0022-460X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/22349
dc.description.abstract	If a building structure requires both a vibration control system and a health monitoring system, the integration of the two systems will be cost-effective and beneficial. One of the key problems of this integrated system is how to use control devices to enhance system identification and damage detection. This paper presents a new method for system identification and damage detection of controlled building structures equipped with semi-active friction dampers through model updating based on frequency response functions. The two states of the building are first created by adding a known stiffness using semi-active friction dampers. A scheme based on the frequency response functions of the two states of the building is then presented to identify stiffness parameters of structural members in consideration of structural connectivity and transformation information. By applying the proposed model updating scheme to the damaged building, a damage detection scheme is proposed based on the identified stiffness parameters of structural members of both the original and damaged buildings. The feasibility of the proposed schemes is finally demonstrated through a detailed numerical investigation in terms of an example building, in which the effects of measurement noise and excitation conditions are discussed. The numerical results clearly show that the proposed method can locate and quantify damage satisfactorily even though measurement noise is taken into consideration. © 2012 Elsevier Ltd. All rights reserved.	en_US
dc.relation.ispartof	Journal of Sound and Vibration	en_US
dc.relation.isbasedon	10.1016/j.jsv.2012.03.001	en_US
dc.subject.classification	Acoustics	en_US
dc.title	Structural damage detection of controlled building structures using frequency response functions	en_US
dc.type	Journal Article
utslib.citation.volume	15	en_US
utslib.citation.volume	331	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	02 Physical Sciences	en_US
utslib.for	09 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
utslib.copyright.status	closed_access
pubs.issue	15	en_US
pubs.publication-status	Published	en_US
pubs.volume	331	en_US

Abstract:

If a building structure requires both a vibration control system and a health monitoring system, the integration of the two systems will be cost-effective and beneficial. One of the key problems of this integrated system is how to use control devices to enhance system identification and damage detection. This paper presents a new method for system identification and damage detection of controlled building structures equipped with semi-active friction dampers through model updating based on frequency response functions. The two states of the building are first created by adding a known stiffness using semi-active friction dampers. A scheme based on the frequency response functions of the two states of the building is then presented to identify stiffness parameters of structural members in consideration of structural connectivity and transformation information. By applying the proposed model updating scheme to the damaged building, a damage detection scheme is proposed based on the identified stiffness parameters of structural members of both the original and damaged buildings. The feasibility of the proposed schemes is finally demonstrated through a detailed numerical investigation in terms of an example building, in which the effects of measurement noise and excitation conditions are discussed. The numerical results clearly show that the proposed method can locate and quantify damage satisfactorily even though measurement noise is taken into consideration. © 2012 Elsevier Ltd. All rights reserved.

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http://hdl.handle.net/10453/22349