Using modified double exponential distribution to refine the parameters of extreme wind loads
A.N. Fedosova, PhD, Associate Professor
of the Department of Physics and Building
Aerodynamics, Senior Researcher;
P.S. Churin, Ph.D. UNPL AASK, associate professor of the Department of Physics and Building Aerodynamics;
Ye.O. Postarnak, student
Moscow State University of Civil Engineering
(National Research University)
Abstract. To refine the parameters of extreme wind effects, a modified double exponential distribution based on the ACER method is proposed, since it is known that this method has a higher prediction accuracy for extreme wind effects than the classical Gumbel distribution. The meteorological station of the Exhibition of Economic Achievements in Moscow on the maximum values of speed over a tenyear period was analyzed using the proposed modified double exponential distribution and Gumbel distribution. It is shown that the modified exponential distribution makes it possible to better approximate the mathematical expectation, and also gives higher probabilities of high velocities.
Key words: modified double exponential distribution, parameters of wind loads, extreme wind influences, distribution of Gumbel.