TECHNICAL NOTES
Jan 16, 2004

Sampling Errors in the Estimation of Peak Wind-Induced Internal Forces in Low-Rise Structures

Publication: Journal of Engineering Mechanics
Volume 130, Issue 2

Abstract

Peak values in time histories of wind effects may be obtained by using the entire information inherent in the time series of the wind effect, a method entailing the estimation of the probability distribution of the peak through the application of the classical Rice procedure extended for non-Gaussian time histories. We present estimates of the sampling errors inherent in this method. These are needed for structural reliability calculations and for decisions on the requisite length of wind tunnel pressure records, especially for database-assisted design. If based on the analysis of 1-h-long records generated by Monte Carlo simulation, typical sampling errors in the estimation of peaks of time histories corresponding to windstorms of 1-h duration are about 5%. If based on 30- or 20-min records, they are about 1.5 times or twice as large, respectively. Consideration of the sampling errors in reliability calculations entails an estimated increase in the requisite safety margins with respect to wind loading of roughly 2, 3, and 5% if 1-h, 30-min, or 20-min records are used, respectively.

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References

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Information

Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 130Issue 2February 2004
Pages: 235 - 239

History

Received: Mar 19, 2002
Accepted: Jun 12, 2003
Published online: Jan 16, 2004
Published in print: Feb 2004

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Authors

Affiliations

Fahim Sadek
Structural Research Engineer, Building and Fire Research Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899-8611.
Sofia Diniz
Associate Professor, Dept. of Structural Engineering, Federal Univ. of Minas Gerais, Belo Horizonte, Brazil.
Michael Kasperski
Privatdozent, Aerodynamik im Bauwesen, Ruhr-Universitaet Bochum, 44780 Bochum, Germany.
Massimiliano Gioffrè
Research Fellow, Dept. of Civil and Environmental Engineering, Univ. of Perugia, Via G. Duranti 93 06125 Perugia, Italy.
Emil Simiu, F.ASCE
NIST Fellow, Building and Fire Research Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899-8611.

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