Estimation and Application of Typhoon Extreme Wind Loadings at Typical Long-Span Bridge Sites in Coastal Regions
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1.State Key Laboratory of Disaster Reduction of Civil Engineering, Tongji University, Shanghai 200092, China;2.Key Laboratory of Transport Industry of Bridge Wind Resistance Technologies, Tongji University, Shanghai 200092, China;3.Glenn Department of Civil Engineering, Clemson University, Clemson 29634,USA;4.Key Laboratory of New Technology for Construction of Cities in Mountain Area of the Ministry of Education, Chongqing University, Chongqing 400045, China

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P47

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    Abstract:

    Based on the best track dataset of typhoon in the Northwest Pacific from 1951 to 2015 provided by the Japan Meteorological Administration, the typhoon tracking, intensity and wind field parameter models are developed utilizing the geographically weighted regression approach, respectively. A stochastic simulation algorithm that is applicable for the typhoon wind hazard assessment in southeast coastal regions of China is then proposed by introducing a three-dimensional analytical typhoon boundary layer model. A case study is conducted by taking the Lingdingyang Bridge as an engineering example, which is the main navigable channel in the Shenzhong Link project.A 100 000-year typhoon simulation is conducted at the bridge site. The return period curve, the probability of exceedance curve and the vertical wind profile of extreme wind speed are constructed respectively, which can be directly used to guide the wind-resistant design of bridges. Finally, the flutter reliability analysis of the Lingdingyang Bridge is performed by introducing the uncertainties of structural and aerodynamic parameters. Its flutter failure probability and safety performance under typhoon winds are evaluated.

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FANG Genshen, ZHAO Lin, WEI Miaomiao, LI Ke, GE Yaojun. Estimation and Application of Typhoon Extreme Wind Loadings at Typical Long-Span Bridge Sites in Coastal Regions[J].同济大学学报(自然科学版),2021,49(10):1390~1398

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History
  • Received:January 02,2021
  • Revised:
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  • Online: October 18,2021
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