Yeo, 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, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=907600 (Accessed May 10, 2026)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
DEVELOPMENT OF LARGE DIRECTIONAL WIND SPEED DATABASES
Published
Author(s)
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
Fifth International Symposium on Uncertainty Modeling and Analysis
Conference Dates
April 11-13, 2011
Conference Location
Hyattsville, MD, US
Pub Type
Conferences
Download Paper
Keywords
Directional wind speeds, Mean recurrence interval, Extreme value statistics, Synthetic wind speed data, Monte Carlo simulation, Generalized Pareto distribution.
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created April 25, 2011, Updated May 7, 2026