TECHNICAL PAPERS
Jun 1, 2006

Database-Assisted Design of Low-Rise Buildings: Aerodynamic Considerations for a Practical Interpolation Scheme

Publication: Journal of Structural Engineering
Volume 132, Issue 6

Abstract

Database-assisted design (DAD) is becoming a realistic possibility whereby archived wind pressure time series on building envelopes from wind tunnel experiments are directly used in structural analysis software for building design. In order for DAD to be of practical use, a data handling system is required. The main task of the system is to perform interpolation in order to obtain wind pressure time series beyond the basic configurations available in the database. The functional dependence of the pressure coefficients is reduced to geometric variables only, greatly simplifying the process of interpolation. It is shown that all interpolation schemes require estimation of the first and second order statistical moments.

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Acknowledgments

Financial support is gratefully acknowledged from NIST/TTU for obtaining the experimental data, NSERC for student support and the Canada Research Chairs Program for general support of the first writer. The writers would like to thank Dr. D. Surry, Dr. T.C.E. Ho, and Dr. R. J. Martinuzzi for many hours of useful discussions and Dr. Ho, in particular, for his help with the data handling. The ongoing support from Dr. E. Simiu and Dr. K. Mehta for database development and analysis is also greatly appreciated.NIST

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Information & Authors

Information

Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 132Issue 6June 2006
Pages: 909 - 917

History

Received: Jun 30, 2004
Accepted: May 10, 2005
Published online: Jun 1, 2006
Published in print: Jun 2006

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Notes

Note. Associate Editor: Kurtis R. Gurley

Authors

Affiliations

Gregory A. Kopp, M.ASCE
Associate Professor and Canada Research Chair in Wind Engineering, Alan G. Davenport Wind Engineering Group, Boundary Layer Wind Tunnel Laboratory, Univ. of Western Ontario, London, Canada N6A 5B9 (corresponding author). E-mail: [email protected]
Yingzhao Chen, S.M.ASCE
Staff Scientist, IntraRisk Division, Applied Research Associates Inc., 8540 Colonnade Center Dr., Suite 307, Raleigh, NC 27615. E-mail: [email protected]

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