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The Scientific World Journal
Volume 2014, Article ID 204675, 11 pages
http://dx.doi.org/10.1155/2014/204675
Research Article

Study on Typhoon Characteristic Based on Bridge Health Monitoring System

1State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, China
2College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
3Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China
4Bureau of Public Works of Shenzhen Municipality, Shenzhen 518006, China

Received 25 March 2014; Revised 8 May 2014; Accepted 8 May 2014; Published 10 June 2014

Academic Editor: Ying Lei

Copyright © 2014 Xu Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.