Peak Distributions and Peak Factors of Wind-Induced Pressure Processes on Tall Buildings
Publication: Journal of Engineering Mechanics
Volume 139, Issue 12
Abstract
The emergence of performance-based wind engineering calls for improved probabilistic modeling of wind effects on buildings. This paper focuses on the development of probabilistic models of the peak distribution and peak factor for non-Gaussian processes and explores the applications of this development in wind engineering. The closed-form expressions for the mean, SD, and fractile levels of extremes are derived for a random process whose peaks are modeled by the parametric Weibull distribution. A new translated-peak-process method is then developed for the estimation of the peak distribution, peak factor, and variability of extremes, based on the Weibull distribution and point-to-point mapping procedure. The proposed translated-peak-process method is validated by wind-tunnel pressure measurements on a standard tall building and is shown to be more robust and practical than many existing methods in analyzing non-Gaussian wind pressure data.
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Acknowledgments
The work described in this paper was partially supported by the National Natural Science Foundation of China (Project No. 51008275, 90815023, and 51021140006); the Ministry of Transport of the People's Republic of China (Project No. 2011318223170); the Scientific Plan Project of Zhejiang Province of China (Project No. 2012C21059); and the Fundamental Research Funds for the Central Universities of China (Project No. 2012QNA4013).
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Published In
Journal of Engineering Mechanics
Volume 139 • Issue 12 • December 2013
Pages: 1744 - 1756
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Jun 19, 2012
Accepted: Feb 26, 2013
Published online: Feb 28, 2013
Published in print: Dec 1, 2013
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