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Sep 16, 2009

Operational Requirements for Long-Span Bridges under Strong Wind Events

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Publication: Journal of Bridge Engineering
Volume 15, Issue 2

Abstract

In the absence of intensive wind tunnel tests, this study provides an effective and accurate approach to estimate the operational driving speed limit on bridges subjected to different road conditions and wind intensities, through a convenient continuous simulation technique (CSP). A fast and vigorous simulation tool, vehicle performance simulation, is developed to effectively model the performance of vehicles traveling on bridges by considering the interactions between wind, vehicles, and the bridge. The CSP, on the other hand, dramatically reduces the data generation time and makes a reliability analysis of vehicles possible. The application of the proposed method on the Confederation Bridge in Canada is presented as a numerical example. The simulation result overrides the general impression that only high-sided vehicles are sensitive to wind attacks, and this work demonstrates that light-weighted vehicles are also likely to suffer from instability problems on bridges under relatively low wind velocity. In addition, different types of vehicle can undergo different instability mechanisms under the same wind condition and these vehicle instability mechanisms vary with wind velocity.

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Acknowledgments

The writers gratefully acknowledge the financial support of the Hong Kong Research Grant Council RGC Grant No. UNSPECIFIED612207 for the project on Operational Requirements for Long Span Bridges under Strong Wind Conditions.

References

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Information & Authors

Information

Published In

Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 15Issue 2March 2010
Pages: 131 - 143

History

Received: Jul 24, 2008
Accepted: May 13, 2009
Published online: Sep 16, 2009
Published in print: Mar 2010

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Authors

Affiliations

Moe M. S. Cheung, F.ASCE [email protected]
Chair Professor and Head, Dept. of Civil Engineering, the Hong Kong Univ. of Science and Technology, Clear Water Bay, Hong Kong (corresponding author). E-mail: [email protected]
Ben Y. B. Chan [email protected]
Ph.D. Candidate, Dept. of Civil Engineering, the Hong Kong Univ. of Science and Technology, Clear Water Bay, Hong Kong. E-mail: [email protected]

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