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Flutter Fragility Analysis of Long-Span Bridges Based on 3D Typhoon Model Using Geographically Weighted Regression

 Flutter Fragility Analysis of Long-Span Bridges Based on 3D Typhoon Model Using Geographically Weighted Regression
Autor(en): , ,
Beitrag für IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022, veröffentlicht in , S. 1775-1783
DOI: 10.2749/nanjing.2022.1775
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The long-span bridges in coastal region of China exposed to the challenge of typhoon-induced flutter instability with the continuous increase the span length and flexibility of bridges. A Monte- Ca...
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Bibliografische Angaben

Autor(en): (State Key Lab of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA)
(Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA)
(State Key Lab of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China)
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:
Seite(n): 1775-1783 Anzahl der Seiten (im PDF): 9
Seite(n): 1775-1783
Anzahl der Seiten (im PDF): 9
DOI: 10.2749/nanjing.2022.1775
Abstrakt:

The long-span bridges in coastal region of China exposed to the challenge of typhoon-induced flutter instability with the continuous increase the span length and flexibility of bridges. A Monte- Carlo-technique-based framework to analyse the flutter fragility long-span bridges subjected to typhoon winds is developed. A 3D typhoon boundary layer wind field model and a geographically- weighted-regression (GWR) -based stochastic track model are proposed to generate a large quantity of synthetic tracks around the bridge site before achieving the typhoon wind hazard curves at the height of the bridge deck. The flutter critical wind speed of the bridge is derived accounting for the structural modal and damping randomness as well as experiment-induced errors of aeroelastic flutter derivatives. The typhoon-induced flutter failure probabilities of the bridge are then predicted and compared with code-suggested target reliability indices.

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Copyright: © 2022 International Association for Bridge and Structural Engineering (IABSE)
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