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Author:

Ji, Xiaowen (Ji, Xiaowen.) | Huang, Guoqing (Huang, Guoqing.) | Zhao, Yan-Gang (Zhao, Yan-Gang.)

Indexed by:

EI Scopus SCIE

Abstract:

Flutter analysis that governs the bridge aerodynamic instability is crucial during the wind-resistance design period of long-span bridges. However, randomness existing in the wind load and structure can bring about obstacles in the determination of the flutter onset and thus can lead the bridge to precarious situations. Probabilistic analysis considering the uncertainties from different sources is necessary for the risk assessment of bridge flutter. In this paper, a framework for probabilistic analysis of bridge flutter is developed. Bimodal coupled flutter serving as the classical flutter problem is considered. In the probabilistic analysis, modal damping ratio and critical wind speed are reformulated with generalized flutter analysis, based on which their moments are estimated by adopting point estimate method. The proposed framework is validated with experimental data. Results show that both the accuracy and efficiency can be retained.

Keyword:

Point estimate Uncertainty Bridge flutter Critical wind speed Damping ratio

Author Community:

  • [ 1 ] [Ji, Xiaowen]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 2 ] [Zhao, Yan-Gang]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 3 ] [Huang, Guoqing]Chongqing Univ, Sch Civil Engn, Chongqing 400044, Peoples R China
  • [ 4 ] [Zhao, Yan-Gang]Kanagawa Univ, Dept Architecture, Yokohama, Kanagawa 2218686, Japan

Reprint Author's Address:

  • [Huang, Guoqing]Chongqing Univ, Sch Civil Engn, Chongqing 400044, Peoples R China

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Related Keywords:

Source :

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

ISSN: 0167-6105

Year: 2020

Volume: 201

4 . 8 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:115

Cited Count:

WoS CC Cited Count: 14

SCOPUS Cited Count: 14

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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