Technical Papers
Feb 7, 2013

Evaluation of Mean Recurrence Intervals of Wind Effects for Tall Building Design

Publication: Journal of Structural Engineering
Volume 140, Issue 1

Abstract

Mean recurrence intervals (MRIs) of wind effects for the strength design (SD) of flexible buildings by the wind-tunnel method are based on estimates of total uncertainties that do not account for uncertainties in the dynamic parameters. This paper presents a procedure for assessing this practice. The procedure accounts for the probability distributions of total uncertainties in basic wind effects corresponding to MRIs of 50 or 100 years. The total uncertainties are estimated for two cases. For Case 1, only uncertainties in the wind loading are taken into account. For Case 2, uncertainties in both the wind loading and the dynamic parameters are considered. Cumulative distribution functions (CDFs) of the total uncertainties in the basic wind effects are determined by Monte Carlo simulation. To assure risk consistency, the MRIs of wind effects considered for SD correspond in both cases to the same upper confidence bound of the basic wind effects. For a 305-m-tall symmetrical steel building, the requisite MRIs are larger for Case 2 than for Case 1 by at most 80%. These increases corresponded to wind effects considered for SD larger for Case 2 than for Case 1 by at most 6%.

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Acknowledgments

The wind tunnel data developed at the CRIACIV-DIC Boundary Layer Wind Tunnel were provided by Seymour Spence of the University of Perugia, Italy. Helpful comments by Adam L. Pintar and DongHun Yeo, of the National Institute of Standards and Technology are acknowledged with thanks.

References

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Information & Authors

Information

Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 140Issue 1January 2014

History

Received: Aug 8, 2012
Accepted: Feb 5, 2013
Published online: Feb 7, 2013
Published in print: Jan 1, 2014
Discussion open until: Feb 25, 2014

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Authors

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Rene D. Gabbai [email protected]
Assistant Professor, Catholic Univ. of America, Washington, DC 20064. E-mail: [email protected]
F.ASCE
NIST Fellow, National Institute of Standards and Technology, Gaithersburg, MD 20899 (corresponding author). E-mail: [email protected]

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