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- Publisher Website: 10.1016/j.jsv.2021.116477
- Scopus: eid_2-s2.0-85117861829
- WOS: WOS:000722156800001
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Article: Iterative reference-driven S-transform time-varying parameter identification for bridges under moving vehicle
Title | Iterative reference-driven S-transform time-varying parameter identification for bridges under moving vehicle |
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Authors | |
Keywords | Multisensory system Reference-driven Time-frequency analysis Time-varying characteristics Vehicle-bridge interaction |
Issue Date | 2022 |
Publisher | Elsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/jsvi |
Citation | Journal of Sound and Vibration, 2022, v. 517, article no. 116477 How to Cite? |
Abstract | Traditional bridge health monitoring is both expensive and time-consuming because of the need for installing a large quantity of sensors on the bridge. The indirect monitoring method as a feasible alternative has become popular over the last decade, as useful information can be gathered from moving vehicles installed with sensors by considering vehicle-bridge interaction. This paper describes an indirect time-varying modal parameter identification method for bridges under a moving test vehicle. A novel reference-driven S-transform is proposed for the parametric modal identification of time-varying structural systems with non-stationary characteristics based on a multisensory arrangement, comprising a fixed reference sensor installed on the bridge and another movable sensor installed on a moving test vehicle. By the phase-preservation property of S-transform and the multisensory time-frequency analysis, the proposed iterative reference-driven S-transform can be used to extract the time-varying modal parameters of the vehicle-bridge system when the vehicle moves on the bridge. Based on the coherence between measurements from the sensors mounted on the bridge and vehicle, one can track the time-varying characteristics by combining the spatial and time-frequency information obtained by the multisensory array. The efficiency of the proposed reference-driven S-transform method is validated by numerical simulations and laboratory experiments using a simply supported beam with a moving vehicle. The effects of the vehicle property, driving speed, road roughness and measurement noise are discussed. The numerical and experimental results have demonstrated that the proposed method is useful for time-varying parameter extraction with a multisensory system. This will be useful to structural condition monitoring of bridges. |
Persistent Identifier | http://hdl.handle.net/10722/306901 |
ISSN | 2023 Impact Factor: 4.3 2023 SCImago Journal Rankings: 1.225 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Yang, D | - |
dc.contributor.author | Zhan, Y | - |
dc.contributor.author | Zhang, J | - |
dc.contributor.author | Au, FTK | - |
dc.date.accessioned | 2021-10-22T07:41:14Z | - |
dc.date.available | 2021-10-22T07:41:14Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Journal of Sound and Vibration, 2022, v. 517, article no. 116477 | - |
dc.identifier.issn | 0022-460X | - |
dc.identifier.uri | http://hdl.handle.net/10722/306901 | - |
dc.description.abstract | Traditional bridge health monitoring is both expensive and time-consuming because of the need for installing a large quantity of sensors on the bridge. The indirect monitoring method as a feasible alternative has become popular over the last decade, as useful information can be gathered from moving vehicles installed with sensors by considering vehicle-bridge interaction. This paper describes an indirect time-varying modal parameter identification method for bridges under a moving test vehicle. A novel reference-driven S-transform is proposed for the parametric modal identification of time-varying structural systems with non-stationary characteristics based on a multisensory arrangement, comprising a fixed reference sensor installed on the bridge and another movable sensor installed on a moving test vehicle. By the phase-preservation property of S-transform and the multisensory time-frequency analysis, the proposed iterative reference-driven S-transform can be used to extract the time-varying modal parameters of the vehicle-bridge system when the vehicle moves on the bridge. Based on the coherence between measurements from the sensors mounted on the bridge and vehicle, one can track the time-varying characteristics by combining the spatial and time-frequency information obtained by the multisensory array. The efficiency of the proposed reference-driven S-transform method is validated by numerical simulations and laboratory experiments using a simply supported beam with a moving vehicle. The effects of the vehicle property, driving speed, road roughness and measurement noise are discussed. The numerical and experimental results have demonstrated that the proposed method is useful for time-varying parameter extraction with a multisensory system. This will be useful to structural condition monitoring of bridges. | - |
dc.language | eng | - |
dc.publisher | Elsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/jsvi | - |
dc.relation.ispartof | Journal of Sound and Vibration | - |
dc.subject | Multisensory system | - |
dc.subject | Reference-driven | - |
dc.subject | Time-frequency analysis | - |
dc.subject | Time-varying characteristics | - |
dc.subject | Vehicle-bridge interaction | - |
dc.title | Iterative reference-driven S-transform time-varying parameter identification for bridges under moving vehicle | - |
dc.type | Article | - |
dc.identifier.email | Zhan, Y: yingzhan@connect.hku.hk | - |
dc.identifier.email | Au, FTK: francis.au@hku.hk | - |
dc.identifier.authority | Au, FTK=rp00083 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.jsv.2021.116477 | - |
dc.identifier.scopus | eid_2-s2.0-85117861829 | - |
dc.identifier.hkuros | 328836 | - |
dc.identifier.volume | 517 | - |
dc.identifier.spage | article no. 116477 | - |
dc.identifier.epage | article no. 116477 | - |
dc.identifier.isi | WOS:000722156800001 | - |
dc.publisher.place | United Kingdom | - |