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TECHNICAL PAPERS

Predicting the Long Term Distribution of Extreme Loads From Limited Duration Data: Comparing Full Integration and Approximate Methods

[+] Author and Article Information
LeRoy M. Fitzwater, C. Allin Cornell

Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305-4020

J. Sol. Energy Eng 124(4), 378-386 (Nov 08, 2002) (9 pages) doi:10.1115/1.1509768 History: Received February 01, 2002; Revised July 01, 2002; Online November 08, 2002
Copyright © 2002 by ASME
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References

Figures

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10-min mean wind speed and turbulence intensity for 1800 10-min Gaussian wind input processes
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Observed mean and standard deviation of 10-min maximum responses for given 10-min mean wind speeds
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Gumbel fit to observed data for operating and parked wind speeds, turbulence class A
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Regression of the moments of 10-min maximum on the 10-min mean wind speed for flap and edge bending
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Probability of exceedance of 10-min load considering three turbine conditions: 1) turbine operating over all wind speeds, 2) turbine parked over all wind speeds, 3) turbine operating below cutout wind speed and parked above cutout wind speed; for both a) flap and b) edge loading
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Probability of exceedance of 10-min load considering load, turbulence intensity, and wind speed deterministically for both a) flap and b) edge loading
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Probability of exceedance of 10-min load considering the load term at prescribed deterministic levels compared with full distribution solution
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Probability of exceedance of 10-min load considering the short-term load at 90% fractile and turbulence intensity at prescribed deterministic levels compared with full distribution solution

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