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DEVELOPMENT OF LARGE DIRECTIONAL WIND SPEED DATABASES

Published

Author(s)

Dong Hun Yeo

Abstract

For structures sensitive to wind directionality, methods for the estimation of wind effects require the use of time series of directional wind speeds with length exceeding the length of the MRIs of interest. This study proposes a procedure for generating such time series from relatively short synoptic wind data sets. The focus in this paper is on the estimation of the parameters of a probabilistic model of the wind speeds and on errors in the estimation. The wind speed data being generated can be used in the Database-Assisted Design approach to account for directional wind effects.
Proceedings Title
First International Conference on Vulnerability and Risk Analysis and Management &
Fifth International Symposium on Uncertainty Modeling and Analysis
Conference Dates
April 11-13, 2011
Conference Location
Hyattsville, MD

Keywords

Directional wind speeds, Mean recurrence interval, Extreme value statistics, Synthetic wind speed data, Monte Carlo simulation, Generalized Pareto distribution.

Citation

, D. (2011), DEVELOPMENT OF LARGE DIRECTIONAL WIND SPEED DATABASES, First International Conference on Vulnerability and Risk Analysis and Management & Fifth International Symposium on Uncertainty Modeling and Analysis, Hyattsville, MD (Accessed May 18, 2024)

Issues

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Created April 25, 2011, Updated February 19, 2017