Generation of Large Directional Wind Speed Data Sets for Estimation of Wind Effects with Long Return Periods
Publication: Journal of Structural Engineering
Volume 140, Issue 10
Abstract
For structures sensitive to wind directionality, methods for the estimation of wind effects require the use of time series of directional wind speeds that cover time periods exceeding the length of the mean recurrence interval (MRI) of interest to the design. This study proposes a procedure for generating such time series from relatively short wind data sets. First, an algorithm is developed for estimating the parameters of the distributions of the directional wind speeds, given that the size of the data sample within one or more directional sectors can in some instances be too small for statistical inference purposes. Once the distribution parameters are estimated, a simple Monte Carlo procedure is used for data generation. The wind speed data being generated can be used within the framework of the database-assisted design approach to determine wind effects on buildings by accounting for wind directionality.
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Acknowledgments
The author would like to thank E. Simiu, for providing valuable advice, and F. T. Lombardo, for providing wind speed data sets used in this work.
References
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Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 140 • Issue 10 • October 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Aug 29, 2012
Accepted: Nov 7, 2013
Published online: May 14, 2014
Published in print: Oct 1, 2014
Discussion open until: Oct 14, 2014
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