Nonlinear characteristics of damaged bridges under moving loads using parameter optimization variational mode decomposition

Li, J; Guo, J; Zhu, X; Yu, Y

Nonlinear characteristics of damaged bridges under moving loads using parameter optimization variational mode decomposition

Li, J Guo, J Zhu, X

Yu, Y

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Publisher:: SPRINGER HEIDELBERG
Publication Type:: Journal Article
Citation:: Journal of Civil Structural Health Monitoring, 2022, 12, (5), pp. 1009-1026
Issue Date:: 2022-10-01

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Field	Value	Language
dc.contributor.author	Li, J
dc.contributor.author	Guo, J
dc.contributor.author	Zhu, X https://orcid.org/0000-0001-5083-9320
dc.contributor.author	Yu, Y https://orcid.org/0000-0001-9592-8191
dc.date.accessioned	2023-03-27T02:52:32Z
dc.date.available	2023-03-27T02:52:32Z
dc.date.issued	2022-10-01
dc.identifier.citation	Journal of Civil Structural Health Monitoring, 2022, 12, (5), pp. 1009-1026
dc.identifier.issn	2190-5452
dc.identifier.issn	2190-5479
dc.identifier.uri	http://hdl.handle.net/10453/168559
dc.description.abstract	Investigation on the dynamic characteristics of bridges for structural condition assessment is challenging when nonlinear breathing cracks in the bridge and nonstationary vehicle-bridge interaction are considered. Variational mode decomposition (VMD) method has been widely used to analyze the nonlinear time-series, but its performance is highly dependent on the parameter setting, i.e., the number of modes and the penalty factor. A new method based on the parameter optimization VMD is proposed to extract the nonlinear dynamic characteristics from responses of bridge under moving vehicle loads in this paper. The Chicken Swarm Optimization algorithm is used to optimize the VMD parameters to improve the decomposition and characterization. A general breathing crack model is introduced to simulate the bridge damage. The acceleration response of bridge considering the cracks is decomposed by the proposed method. The instantaneous frequency (IF) is then obtained from the time–frequency representation of the bridge-related response component using the ridge detection. Numerical simulations are performed to investigate the effect of the crack location and extent on the IFs for structural damage detection. The effect of the vehicle–bridge interaction is also discussed. The method is further verified using the laboratory experimental results of a concrete bridge model under the vehicle load. The nonstationary and nonlinear dynamic properties of the bridge model with different damage scenarios are successfully identified. The results show that the extracted IF clearly reveals the behaviour of breathing crack that can be a potential indicator of the damage in the bridge.
dc.language	English
dc.publisher	SPRINGER HEIDELBERG
dc.relation.ispartof	Journal of Civil Structural Health Monitoring
dc.relation.isbasedon	10.1007/s13349-022-00592-2
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.rights	This is a post-peer-review, pre-copyedit version of an article published in Li, J., Guo, J., Zhu, X. et al. Nonlinear characteristics of damaged bridges under moving loads using parameter optimization variational mode decomposition. J Civil Struct Health Monit 12, 1009–1026 (2022). The final authenticated version is available online at: https://doi.org/10.1007/s13349-022-00592-2
dc.subject	0905 Civil Engineering
dc.title	Nonlinear characteristics of damaged bridges under moving loads using parameter optimization variational mode decomposition
dc.type	Journal Article
utslib.citation.volume	12
utslib.for	0905 Civil Engineering
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
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-06-21T00:00:00+1000Z
dc.date.updated	2023-03-27T02:52:31Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	12
utslib.citation.issue	5

Abstract:

Investigation on the dynamic characteristics of bridges for structural condition assessment is challenging when nonlinear breathing cracks in the bridge and nonstationary vehicle-bridge interaction are considered. Variational mode decomposition (VMD) method has been widely used to analyze the nonlinear time-series, but its performance is highly dependent on the parameter setting, i.e., the number of modes and the penalty factor. A new method based on the parameter optimization VMD is proposed to extract the nonlinear dynamic characteristics from responses of bridge under moving vehicle loads in this paper. The Chicken Swarm Optimization algorithm is used to optimize the VMD parameters to improve the decomposition and characterization. A general breathing crack model is introduced to simulate the bridge damage. The acceleration response of bridge considering the cracks is decomposed by the proposed method. The instantaneous frequency (IF) is then obtained from the time–frequency representation of the bridge-related response component using the ridge detection. Numerical simulations are performed to investigate the effect of the crack location and extent on the IFs for structural damage detection. The effect of the vehicle–bridge interaction is also discussed. The method is further verified using the laboratory experimental results of a concrete bridge model under the vehicle load. The nonstationary and nonlinear dynamic properties of the bridge model with different damage scenarios are successfully identified. The results show that the extracted IF clearly reveals the behaviour of breathing crack that can be a potential indicator of the damage in the bridge.

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http://hdl.handle.net/10453/168559