A Fully Automated and Noncontact Method for Force Identification of Cables Based on Microwave Radar
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Détails bibliographiques
Auteur(s): |
Jing-hang Weng
(Department of Bridge Engineering, Tongji University, Shanghai 200092, China)
Lin Chen (Department of Bridge Engineering, Tongji University, Shanghai 200092, China) Li-Min Sun (Department of Bridge Engineering, Tongji University, Shanghai 200092, China) Yi-qing Zou (Liuzhou OVM Machinery Ltd., Liuzhou 545006, China) Hui Guo (China Academy of Railway Sciences Corporation Limited, Beijing 100081, China) Ying Zhu (China Academy of Railway Sciences Corporation Limited, Beijing 100081, China) |
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Médium: | papier de conférence | ||||
Langue(s): | anglais | ||||
Conférence: | IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022 | ||||
Publié dans: | IABSE Congress Nanjing 2022 | ||||
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Page(s): | 1527-1536 | ||||
Nombre total de pages (du PDF): | 10 | ||||
DOI: | 10.2749/nanjing.2022.1527 | ||||
Abstrait: |
This study proposes a full-automated and non-contact cable force identification method based on microwave radar. Several algorithms have been presented for data processing. The time domain data records by microwave radar is firstly transformed into frequency domain by Fast Fourier Transform. Then, the eigen-frequencies are simultaneously identified with the proposed fast sieve method. Subsequently, a novel algorithm using hash map and weighted voting is applied to estimate orders of eigen-frequencies. Finally, the average ratio between eigen-frequencies and their orders is estimated by weighted least square method, and then the cable force is calculated by using cable frequency formulas. The method has been validated by field tests. |
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Copyright: | © 2022 International Association for Bridge and Structural Engineering (IABSE) | ||||
License: | Cette oeuvre ne peut être utilisée sans la permission de l'auteur ou détenteur des droits. |