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Abstract

In view of the non-Gaussian characteristics of wind pressure on the train surface of a typical high-speed railway train and bridge system, the Gaussian variable was expressed as a Hermite polynomial considering non-Gaussian variables by using Hermite series expansion method, and the probability density curve and peak factor of train surface were analyzed. The results show that the Davenport peak factor based on Gaussian distribution obviously underestimates the non-Gaussian peak factor, and its probability density curve deviates from the actual curve of the measuring point. The Hermite series peak factor method based on the modified method takes into account the characteristics of kurtosis and skewness of the wind pressure at the measuring point and is the closest to the observed peak factor.

Publication Date

7-14-2023

DOI

10.14048/j.issn.1671-2579.2023.03.025

First Page

155

Last Page

162

Submission Date

March 2025

Reference

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