Technical Papers
Jun 8, 2016

Uncertainties in the Estimation of Local Peak Pressures on Low-Rise Buildings by Using the Gumbel Distribution Fitting Approach

Publication: Journal of Structural Engineering
Volume 142, Issue 11

Abstract

The lack of a standard accepted method to estimate local peak pressure coefficients from wind tunnel data can lead to inconsistent definitions and interpretations, particularly because cost and time constraints associated with wind tunnel tests of low-rise buildings necessitate relatively short (equivalent full-scale) durations. This paper focuses on a Gumbel distribution fitting method widely used in practice. Because the sources of uncertainty regarding estimated peaks include the use of short-duration records (in practice) and the assumption that the observed peaks from wind tunnel pressure data are Gumbel-distributed, this is quantified in detail in terms of the parameters determining the required minimum record length. It is shown that 15 observed peaks can lead to local peak pressure estimates with adequate precision for many design scenarios. However, the conversion of peak coefficients from a short duration to those of a longer duration requires an increase in the number of observed peaks to maintain precision.

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Acknowledgments

The experimental data were obtained with support from NSF CMMI-0928563.

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Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 142Issue 11November 2016

History

Received: May 12, 2015
Accepted: Mar 1, 2016
Published online: Jun 8, 2016
Published in print: Nov 1, 2016
Discussion open until: Nov 8, 2016

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Authors

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Eri Gavanski, Ph.D. [email protected]
Associate Professor, Dept. of Engineering, Graduate School of Engineering, Osaka City Univ., Osaka 558-8585, Japan; formerly, Disaster Prevention Research Institute, Kyoto Univ., Uji, Kyoto 611-0011, Japan (corresponding author). E-mail: [email protected]
Kurtis R. Gurley, Ph.D., A.M.ASCE [email protected]
Associate Professor, Dept. of Civil and Coastal Engineering, Univ. of Florida, P.O. Box 116580, Gainesville, FL 326611-6580. E-mail: [email protected]
Gregory A. Kopp, Ph.D., M.ASCE [email protected]
Professor, Boundary Layer Wind Tunnel Laboratory, Faculty of Engineering, Univ. of Western Ontario, London, ON, Canada N6A 5B9. E-mail: [email protected]

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