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Study on Typhoon Characteristic Based on Bridge Health Monitoring System
Joint Authors
Sun, Dezhang
Wu, Yinqiang
Chen, Bin
Wang, Xu
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Through the wind velocity and direction monitoring system installed on Jiubao Bridge of Qiantang River, Hangzhou city, Zhejiang province, China, a full range of wind velocity and direction data was collected during typhoon HAIKUI in 2012.
Based on these data, it was found that, at higher observed elevation, turbulence intensity is lower, and the variation tendency of longitudinal and lateral turbulence intensities with mean wind speeds is basically the same.
Gust factor goes higher with increasing mean wind speed, and the change rate obviously decreases as wind speed goes down and an inconspicuous increase occurs when wind speed is high.
The change of peak factor is inconspicuous with increasing time and mean wind speed.
The probability density function (PDF) of fluctuating wind speed follows Gaussian distribution.
Turbulence integral scale increases with mean wind speed, and its PDF does not follow Gaussian distribution.
The power spectrum of observation fluctuating velocity is in accordance with Von Karman spectrum.
American Psychological Association (APA)
Wang, Xu& Chen, Bin& Sun, Dezhang& Wu, Yinqiang. 2014. Study on Typhoon Characteristic Based on Bridge Health Monitoring System. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1048715
Modern Language Association (MLA)
Wang, Xu…[et al.]. Study on Typhoon Characteristic Based on Bridge Health Monitoring System. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1048715
American Medical Association (AMA)
Wang, Xu& Chen, Bin& Sun, Dezhang& Wu, Yinqiang. Study on Typhoon Characteristic Based on Bridge Health Monitoring System. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1048715
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048715