Moment-based transformation of non-Gaussian wind pressure histories and non-Gaussian peak factor formulae

被引：0
|
作者：
Li B. [1 ,2 ]
Tian Y.-J. [1 ,3 ]
Yang Q.-S. [1 ,2 ]
机构：
[1] School of Civil Engineering, Beijing Jiaotong University, Beijing
[2] Beijing's Key Laboratory of Structural Wind Engineering and Urban Wind Environment, Beijing
[3] Shanghai Key Laboratory of Engineering Structure Safety, SRIBS, Shanghai
来源：
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering | 2016年 / 29卷 / 03期
关键词：
Hermite moment model; Peak factor; Peak pressure coefficient; Probability distribution of extreme value; Wind loads;
D O I：
10.16385/j.cnki.issn.1004-4523.2016.03.004
中图分类号：
学科分类号：
摘要：
The transformation between non-Gaussian process and Gaussian process is established by Hermite moment models. The mean upcrossing rate of non-Gaussian process can be obtained from the mean upcrossing rate of Gaussian process since the transformation is monotonic and since both non-Gaussian and Gaussian processes upcross their threshold levels respectively at the same instances. This transformation models provide a method to formulate the non-Gaussian peak factor and the extreme value of wind pressure. The Hermite models of softening, hardening and skewed processes are introduced in this paper while the monotonic limits are clarified in terms of the skewness and kurtosis. This facilitates the choosing of Hermite model and transformation order. The probability distribution of non-Gaussian peak factor is formulated and the one-to-one match is established between Gaussian and non-Gaussian peak factor. The proposed method is applied to the determination of non-Gaussian peak factor and extreme wind pressure on a flat roof. It is indicated that the mean values of calculated peak factor and extreme wind pressure match well the measured values and that the extreme values of wind pressure match better. © 2016, Nanjing Univ. of Aeronautics an Astronautics. All right reserved.
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页码：395 / 402
页数：7
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