Characterizing Dependence of Extreme Wind Pressures
Publication: Journal of Structural Engineering
Volume 143, Issue 4
Abstract
The prediction of the extreme value of the wind pressure receives significant attention from the wind engineering community. However, the correlation among extreme wind pressures associated with different locations on the building surface is less addressed. In this study, the characterization of the dependence structure of extreme wind pressures and its application to roofing damage estimation are presented. First, three methods to model the dependence structure of extreme wind pressures, including multivariate extreme value theory, copula function, and Nataf transformation, are reviewed. Then, the asymptotic property of the bivariate non-Gaussian random vector will be established and the partial correlation for the data within finite duration is discussed. Furthermore, the dependence structure and asymptotical properties of extreme wind pressure coefficients are investigated based on the very long wind tunnel data. The correlation of extreme pressures considering the randomness of the annual maximum mean wind speed is also addressed. Finally, the application of the correlation of extreme wind pressures on the damage estimation for the asphalt shingle roofing is discussed.
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Acknowledgments
The support from the National Natural Science Foundation of China (Grant Nos. 51578471 and 51478401) is greatly acknowledged. The authors are very grateful for the wind pressure data produced by the University of Western Ontario and provided by the University of Florida through NSF grant CMMI-0928563.
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Published In
Journal of Structural Engineering
Volume 143 • Issue 4 • April 2017
Copyright
©2016 American Society of Civil Engineers.
History
Received: May 5, 2016
Accepted: Sep 14, 2016
Published online: Nov 11, 2016
Published in print: Apr 1, 2017
Discussion open until: Apr 11, 2017
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