Site-Specific Extreme Load Estimation of a Long-Span Cable-Stayed Bridge
Publication: Journal of Bridge Engineering
Volume 26, Issue 4
Abstract
To provide benefit for design, rating, evaluation and management of signature bridges, site-specific extreme wind speeds, structural temperatures, and traffic load effects of a long-span cable-stayed bridge were estimated using relatively long-term structural health monitoring (SHM) data and compared with respective design values in this paper. The generalized Pareto distribution was adopted and briefly introduced to predict the extreme values in consideration of its advantage in making full use of limited measurement data available. The configuration and characteristics of the 3rd Nanjing Yangtze River Bridge and its SHM system were then presented. The extreme wind speed at the deck level and the four extreme temperatures of the bridge were estimated and compared with the corresponding design values. After a brief introduction to the simulation of traffic load effects, five extreme traffic load effects were finally estimated and compared with the design ones. The comparative results showed that the site-specific extreme wind speed, uniform girder temperature change, and five traffic load effects are all lower than the respective design values. The site-specific extreme vertical and transverse girder temperature differences and the site-specific extreme tower temperature difference were, however, larger than the respective design values.
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Data Availability Statement
Some or all data, models, or codes used during the study were provided by a third party. Direct requests for these materials may be made to the provider as indicated in the Acknowledgements.
Acknowledgments
The work described in this paper is financially supported by The Hong Kong Polytechnic University through its special grant (PolyU-ZZGD), for which the authors are most grateful. The authors also thank Zi-Yuan Fan (Ph.D. candidate) and Zhi-Yuan Zhu (Master’s student) of Southeast University for their help in data preprocessing, Dr Feng-Yang Wang of Dongguan University of Technology for the computing codes in traffic load flow simulation, and the Nanjing No. 3 Yangtze River Bridge Ltd. for providing measurement data for research purpose. Any opinions and conclusions presented in this paper are entirely those of the authors.
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Published In
Journal of Bridge Engineering
Volume 26 • Issue 4 • April 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: May 11, 2020
Accepted: Nov 24, 2020
Published online: Feb 15, 2021
Published in print: Apr 1, 2021
Discussion open until: Jul 15, 2021
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