Smart Structures and Systems

  • 제19권6호
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  • Pages.653-663
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  • 2017
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Variability analysis on modal parameters of Runyang Bridge during Typhoon Masta

  • Mao, Jian-Xiao (Key Laboratory of C&PC Structures of Ministry of Education, Southeast University) ;
  • Wang, Hao (Key Laboratory of C&PC Structures of Ministry of Education, Southeast University) ;
  • Xun, Zhi-Xiang (Key Laboratory of C&PC Structures of Ministry of Education, Southeast University) ;
  • Zou, Zhong-Qin (Key Laboratory of C&PC Structures of Ministry of Education, Southeast University)
  • 투고 : 2016.09.19
  • 심사 : 2017.01.17
  • 발행 : 2017.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

The modal parameters of the deck of Runyang Suspension Bridge (RSB) as well as their relationships with wind and temperature are studied based on the data recorded by its Structural Health Monitoring System (SHMS). Firstly, frequency analysis on the vertical responses at the two sides of the deck is carried out to distinguish the vertical and torsional vibration modes. Then, the vertical, torsional and lateral modal parameters of the deck of RSB are identified using Hilbert-Huang Transform (HHT) and validated by the identified results before RSB was opened to traffic. On the basis of this, the modal frequencies and damping ratios of RSB during the whole process of Typhoon Masta are obtained. And the correlation analysis on the modal parameters and wind environmental factors is then conducted. Results show that the HHT can achieve an accurate modal identification of RSB and the damping ratios show an obvious decay trend as the frequencies increase. Besides, compared to frequencies, the damping ratios are more sensitive to the environmental factors, in particular, the wind speed. Further study on configuring the variation law of modal parameters related with environmental factors should be continued.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China, University of Ministry of Education, Higher Education Institutions of China

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피인용 문헌

  1. Bayesian Finite Element Model Updating of a Long-Span Suspension Bridge Utilizing Hybrid Monte Carlo Simulation and Kriging Predictor vol.24, pp.2, 2017, https://doi.org/10.1007/s12205-020-0983-4