Computer Vision-based Finite Element Model Updating Method Using Measured Static Data: An Experimental Study
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Bibliografische Angaben
| Autor(en): |
Lanxin Luo
(Department of Bridge Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China)
Ye Xia (Department of Bridge Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China) Ao Wang (Department of Bridge Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China) Limin Sun 
(State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai, 200092, China)
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| Medium: | Tagungsbeitrag | ||||
| Sprache(n): | Englisch | ||||
| Tagung: | IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022 | ||||
| Veröffentlicht in: | IABSE Congress Nanjing 2022 | ||||
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| Seite(n): | 1473-1479 | ||||
| Anzahl der Seiten (im PDF): | 7 | ||||
| DOI: | 10.2749/nanjing.2022.1473 | ||||
| Abstrakt: |
Accurate FE models play an important role in structure health monitoring (SHM). In the traditional static finite element model updating (FEMU) process, loading tests interrupting the traffic are required for obtaining static data, which is inconvenient. This paper proposes a novel static FEMU method based on computer vision technology and WIM system, avoiding the mentioned defects. Firstly, the static response simulation under traffic load is carried out with the computer vision determining the load location and the BIW system deciding the load value. Secondly, signal processing technology extracts the measured static data from the monitoring data. Thirdly, the PSO method is utilized to perform the FEMU. An experiment is designed on a bridge model with an SHM system, and results verify the convenience and accuracy of the proposed method |
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| Copyright: | © 2022 International Association for Bridge and Structural Engineering (IABSE) | ||||
| Lizenz: | Die Urheberrechte (Copyright) für dieses Werk sind rechtlich geschützt. Es darf nicht ohne die Zustimmung des Autors/der Autorin oder Rechteinhabers/-in weiter benutzt werden. |
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