TECHNICAL PAPERS
Jan 15, 2010

Tall Building Response Parameters: Sensitivity Study Based on Orthogonal Factorial Experiment Design Technique

Publication: Journal of Structural Engineering
Volume 136, Issue 2

Abstract

This work has two objectives. The first objective is to introduce structural engineers to the experiment design technique, whose future applications may include, for example, the total response of tall buildings, the strength reserve of statically indeterminate structures with nonlinear behavior, for which the duration of each run is large, and the aerodynamic response of a structure under a flow with a variety of simulated flow parameters. The second objective is to show, by using the experiment design technique, that wind load factors for tall buildings depend significantly upon uncertainties with respect to the natural frequencies of vibration and the damping ratios. Because this dependence is disregarded in the ASCE 7-05 Standard, wind load factors specified therein can lead to safety levels that are significantly lower for flexible buildings than for rigid buildings. An unexpected result of the study is that estimates of wind effects based on peak gust speeds entail nonnegligible errors. Consideration should therefore be given to replacing peak gust speeds by sustained wind speeds.

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Acknowledgments

The capable contribution of Ms. Kellie Beall to the execution of the graphics is gratefully acknowledged.

References

Box, G. E., Hunter, W. G., and Hunter, J. S. (1978). Statistics for experimenters, Wiley, New York.
Saltelli, A., Chan, K., and Scott, E. M. (2000). Sensitivity analysis, Wiley, New York.
Saltelli, A., Tarantola, S., Campolongo, F., and Ralto, M. (2004). Sensitivity analysis in practice: A guide to assessing scientific models, Wiley, New York.
Simiu, E., and Miyata, T. (2006). Design of buildings and bridges for wind, Wiley, New York.

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Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 136Issue 2February 2010
Pages: 160 - 164

History

Received: Nov 15, 2007
Accepted: Sep 29, 2009
Published online: Jan 15, 2010
Published in print: Feb 2010

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Notes

Note. Associate Editor: Kurtis R. Gurley

Authors

Affiliations

J. J. Filliben [email protected]
Group Leader, Statistical Modeling and Analysis Group, Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899. E-mail: [email protected]
NIST Fellow, Structural Engineering Group, Building and Fire Research Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899 (corresponding author). E-mail: [email protected]

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