FRF Sensitivity-Based Damage Identification Using Linkage Modeling for Limited Sensor Arrays

Nguyen, VV; Li, J; Erkmen, E; Alamdari, MM; Dackermann, U

FRF Sensitivity-Based Damage Identification Using Linkage Modeling for Limited Sensor Arrays

Nguyen, VV Li, J

Erkmen, E Alamdari, MM Dackermann, U

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Publication Type:: Journal Article
Citation:: International Journal of Structural Stability and Dynamics, 2018, 18 (8)
Issue Date:: 2018-08-01

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Field	Value	Language
dc.contributor.author	Nguyen, VV	en_US
dc.contributor.author	Li, J https://orcid.org/0000-0002-2526-3048	en_US
dc.contributor.author	Erkmen, E	en_US
dc.contributor.author	Alamdari, MM	en_US
dc.contributor.author	Dackermann, U	en_US
dc.date.available	2020-05-25T19:26:34Z
dc.date.issued	2018-08-01	en_US
dc.identifier.citation	International Journal of Structural Stability and Dynamics, 2018, 18 (8)	en_US
dc.identifier.issn	0219-4554	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122269
dc.description.abstract	© 2018 World Scientific Publishing Company. This paper presents a novel method to localize and quantify damage in a jack arch structure by introducing a linkage modeling technique to overcome issues caused by having limited sensors. The main strategy in the proposed Frequency Response Function (FRF)-based sensitivity model updating approach is to divide the specimen into partitions. The Young's modulus of each partition is then updated to detect stiffness reduction caused by damage. System Equivalent Reduction Expansion Process (SEREP) is used to reduce the full finite element (FE) model to a linkage model. The number of measured degrees of freedom (DOFs) is then expanded to the linkage model using the mass and stiffness matrices of the linkage model for the synthesis of interpolated FRFs. The FRF sensitivities are then formulated using the linkage model along with the interpolated FRFs to iteratively calculate the values of the updating parameters until convergence is achieved. The methodology and theory behind this procedure are discussed and verified using a numerical and experimental study. The successful implementation of this method has the potential to detect the location and severity of damage where sensor placement is limited.	en_US
dc.relation.ispartof	International Journal of Structural Stability and Dynamics	en_US
dc.relation.isbasedon	10.1142/S0219455418400023	en_US
dc.title	FRF Sensitivity-Based Damage Identification Using Linkage Modeling for Limited Sensor Arrays	en_US
dc.type	Journal Article
utslib.citation.volume	8	en_US
utslib.citation.volume	18	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0913 Mechanical 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	open_access
pubs.issue	8	en_US
pubs.publication-status	Published	en_US
pubs.volume	18	en_US

Abstract:

© 2018 World Scientific Publishing Company. This paper presents a novel method to localize and quantify damage in a jack arch structure by introducing a linkage modeling technique to overcome issues caused by having limited sensors. The main strategy in the proposed Frequency Response Function (FRF)-based sensitivity model updating approach is to divide the specimen into partitions. The Young's modulus of each partition is then updated to detect stiffness reduction caused by damage. System Equivalent Reduction Expansion Process (SEREP) is used to reduce the full finite element (FE) model to a linkage model. The number of measured degrees of freedom (DOFs) is then expanded to the linkage model using the mass and stiffness matrices of the linkage model for the synthesis of interpolated FRFs. The FRF sensitivities are then formulated using the linkage model along with the interpolated FRFs to iteratively calculate the values of the updating parameters until convergence is achieved. The methodology and theory behind this procedure are discussed and verified using a numerical and experimental study. The successful implementation of this method has the potential to detect the location and severity of damage where sensor placement is limited.

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http://hdl.handle.net/10453/122269