Extreme Value Estimation of Non-Gaussian Wind Load: Empirical Formula of HPM-based Translation Process

Knowing the probability information of extreme wind load is important for reliability-based structural wind resistance design. The Hermite polynomial model (HPM)-based translation process method performs well in estimating extreme value of strongly non-Gaussian wind load. It has been favored by researchers and widely used. On the other hand, using this method is relatively complicated and highly theoretical, which is not conducive to engineering application. Therefore, based on this method, this paper proposes an empirical formula for estimating the extreme value of non-Gaussian wind load. In this paper, the HPM-based translation process method was first presented systematically. The distribution model of extreme wind load was then discussed. Afterward the empirical formula of extreme value distribution of wind load was proposed through the regression analysis. The applicability and accuracy of the formula were also verified. The research shows that the extreme value of wind load can be quickly estimated by the empirical formula only with knowledge of limited statistics of wind load. The accuracy is the same as the prototype method, however, the efficiency and convenience are significantly improved, which makes it easy to promote the use of the method in engineering application.