An extreme-value estimation method of non-Gaussian wind pressure based on generalized extreme value theory

Based on the generalized extreme value theory as well as the independence of observed extreme values, the relationship between the parameters of the extreme value distribution of wind pressure history and its length of observation is deduced. A new method for estimating the extreme values is developed by dividing the time history sample of the wind pressure into several sub-samples properly. Depending on the wind tunnel test, the calculated extreme values of the wind pressure coefficients obtained from the proposed method and those from the commonly used ones are compared and the results indicate that the present method can estimate the extreme values of non-Gaussian wind pressure more accurately than the commonly used ones.