A Two-Step Drive-By Bridge Damage Detection Using Dual Kalman Filter

Li, J; Zhu, X; Law, SS; Samali, B

A Two-Step Drive-By Bridge Damage Detection Using Dual Kalman Filter

Li, J

Zhu, X

Law, SS Samali, B

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Publisher:: WORLD SCIENTIFIC PUBL CO PTE LTD
Publication Type:: Journal Article
Citation:: International Journal of Structural Stability and Dynamics, 2020, 20, (10)
Issue Date:: 2020-09-01

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Field	Value	Language
dc.contributor.author	Li, J https://orcid.org/0000-0001-9181-3653
dc.contributor.author	Zhu, X https://orcid.org/0000-0001-5083-9320
dc.contributor.author	Law, SS
dc.contributor.author	Samali, B
dc.date.accessioned	2021-02-25T04:25:29Z
dc.date.available	2021-02-25T04:25:29Z
dc.date.issued	2020-09-01
dc.identifier.citation	International Journal of Structural Stability and Dynamics, 2020, 20, (10)
dc.identifier.issn	0219-4554
dc.identifier.issn	1793-6764
dc.identifier.uri	http://hdl.handle.net/10453/146450
dc.description.abstract	© 2020 World Scientific Publishing Company. Drive-by bridge inspection using acceleration responses of a passing vehicle has great potential for bridge structural health monitoring. It is, however, known that the road surface roughness is a big challenge for the practical application of this indirect approach. This paper presents a new two-step method for the bridge damage identification from only the dynamic responses of a passing vehicle without the road surface roughness information. A state-space equation of the vehicle model is derived based on the Newmark-β method. In the first step, the road surface roughness is estimated from the dynamic responses of a passing vehicle using the dual Kalman filter (DKF). In the second step, the bridge damage is identified based on the interaction force sensitivity analysis with Tikhonov regularization. A vehicle-bridge interaction model with a wireless monitoring system has been built in the laboratory. Experimental investigation has been carried out for the interaction force and bridge surface roughness identification. Results show that the proposed method is effective and reliable to identify the interaction force and bridge surface roughness. Numerical simulations have also been conducted to study the effectiveness of the proposed method for bridge damage detection. The vehicle is modeled as a 4-degrees-of-freedom half-car and the bridge is modeled as a simply-supported beam. The local bridge damage is simulated as an elemental flexural stiffness reduction. Effects of measurement noise, surface roughness and vehicle speed on the identification are discussed.The results show that the proposed drive-by inspection strategy is efficient and accurate for a quick review on the bridge conditions.
dc.language	English
dc.publisher	WORLD SCIENTIFIC PUBL CO PTE LTD
dc.relation	http://purl.org/au-research/grants/arc/DP160103197
dc.relation.ispartof	International Journal of Structural Stability and Dynamics
dc.relation.isbasedon	10.1142/S0219455420420067
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0905 Civil Engineering, 0913 Mechanical Engineering
dc.title	A Two-Step Drive-By Bridge Damage Detection Using Dual Kalman Filter
dc.type	Journal Article
utslib.citation.volume	20
utslib.for	0905 Civil Engineering
utslib.for	0913 Mechanical Engineering
utslib.for	0905 Civil Engineering
utslib.for	0913 Mechanical 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/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-09-01T00:00:00+1000Z
dc.date.updated	2021-02-25T04:25:27Z
pubs.issue	10
pubs.publication-status	Published
pubs.volume	20
utslib.citation.issue	10

Abstract:

© 2020 World Scientific Publishing Company. Drive-by bridge inspection using acceleration responses of a passing vehicle has great potential for bridge structural health monitoring. It is, however, known that the road surface roughness is a big challenge for the practical application of this indirect approach. This paper presents a new two-step method for the bridge damage identification from only the dynamic responses of a passing vehicle without the road surface roughness information. A state-space equation of the vehicle model is derived based on the Newmark-β method. In the first step, the road surface roughness is estimated from the dynamic responses of a passing vehicle using the dual Kalman filter (DKF). In the second step, the bridge damage is identified based on the interaction force sensitivity analysis with Tikhonov regularization. A vehicle-bridge interaction model with a wireless monitoring system has been built in the laboratory. Experimental investigation has been carried out for the interaction force and bridge surface roughness identification. Results show that the proposed method is effective and reliable to identify the interaction force and bridge surface roughness. Numerical simulations have also been conducted to study the effectiveness of the proposed method for bridge damage detection. The vehicle is modeled as a 4-degrees-of-freedom half-car and the bridge is modeled as a simply-supported beam. The local bridge damage is simulated as an elemental flexural stiffness reduction. Effects of measurement noise, surface roughness and vehicle speed on the identification are discussed.The results show that the proposed drive-by inspection strategy is efficient and accurate for a quick review on the bridge conditions.

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http://hdl.handle.net/10453/146450