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Improved extreme wind prediction for the United States
Abstract An investigation of sampling error due to short data records was investigated for the fastest mile of wind records used to form design wind speeds for the U.S. The data for 29 stations in the midwest were checked for statistical independence and for trend over the geographical area. A superstation was formed from the stations containing 924 station-years of record, and 10,000 years of record with the same Type I distribution were generated by random function generator. The simulated data was shown to have the same distribution of predicted 50-years speeds, if divided into 25-year long records, as occurred for the 29 real stations. The analysis showed that the major variation in predicted 50-year wind speed from station to station is the sampling error. It also showed a method for effectively removing most of the sampling error.
Improved extreme wind prediction for the United States
Abstract An investigation of sampling error due to short data records was investigated for the fastest mile of wind records used to form design wind speeds for the U.S. The data for 29 stations in the midwest were checked for statistical independence and for trend over the geographical area. A superstation was formed from the stations containing 924 station-years of record, and 10,000 years of record with the same Type I distribution were generated by random function generator. The simulated data was shown to have the same distribution of predicted 50-years speeds, if divided into 25-year long records, as occurred for the 29 real stations. The analysis showed that the major variation in predicted 50-year wind speed from station to station is the sampling error. It also showed a method for effectively removing most of the sampling error.
Improved extreme wind prediction for the United States
Peterka, J.A. (Autor:in)
Journal of Wind Engineering and Industrial Aerodynamics ; 41 ; 533-541
01.01.1992
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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