Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).
NIST Authors in Bold
|Author(s):||Dong Hun Yeo;|
|Title:||Generation of Large Directional Wind Speed Datasets from Smaller Synoptic Storm or Thunderstorm Data Samples|
|Published:||August 15, 2013|
|Abstract:||For structures sensitive to wind directionality, methods for the estimation of wind effects require the use of time series of directional wind speeds covering time periods exceeding the length of the Mean Recurrence Interval of interest in design. This study proposes a procedure for generating such time series from relatively short wind data sets. The focus in this paper is on the estimation of the parameters of a probabilistic model of the wind speeds. 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.|
|Citation:||Technical Note (NIST TN) - 1756|
|Keywords:||Directional wind speeds, Mean recurrence intervals, Extreme value statistics, Synthetic wind speed data, Monte Carlo simulation, Generalized Pareto distribution.|
|Research Areas:||Wind Engineering|
|PDF version:||Click here to retrieve PDF version of paper (1MB)|