ASSESSMENT OF SAMPLING ERRORS IN PEAK WIND-INDUCED INTERNAL FORCES

Abstract eng:
Peak values in time histories of wind effects may be obtained by using the entire information inherent in the time series of the wind effect, a method entailing the estimation of the probability distribution of the peak through the application of the classical Rice procedure extended for non-Gaussian time histories. This paper presents estimates, needed for structural reliability calculations, of the sampling errors inherent in this method. If based on the analysis of one-hour long records generated by Monte Carlo simulation, typical sampling errors in the estimation of peaks of time histories corresponding to windstorms of one-hour duration are about 5 %. If based on 30 min or 20 min records they are about 1.5 times or twice as large, respectively. Consideration of the sampling errors in reliability calculations entails an increase in the requisite safety margins with respect to wind loading of about 3 % if one-hour records are used and somewhat larger if 20-min or 30-min records are used.

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