Extremes estimation of non-Gaussian wind pressures: a comparative study on sampling errors based on a moment-based translation process model

被引：0

作者：

Wu F. ^{[1
]}

Huang G. ^{[2
]}

Liu M. ^{[2
]}

Peng L. ^{[2
]}

机构：

[1] School of Civil Engineering, Chongqing Jiaotong University, Chongqing

[2] School of Civil Engineering, Chongqing University, Chongqing

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2020年 / 39卷 / 18期

关键词：

Extremes; Hermite polynomial model(HPM); Johnson transformation model(JTM); Non-gaussian wind pressure; Sampling errors; Shifted generalized lognormal distribution(SGLD); Translation process method;

D O I：

10.13465/j.cnki.jvs.2020.18.003

中图分类号：

学科分类号：

摘要：

The accurate estimation of extreme values of non-Gaussian wind pressures is important for the building structural wind resistance design. Due to its ease of use, the translation process method is widely used to estimate the non-Gaussian extremes. The Hermite polynomial model (HPM), Johnson transformation model (JTM) and shifted generalized lognormal distribution (SGLD) model are representatives of translation functions used in the translation process method. The model coefficients in the three models are usually estimated based on the first four statistical moments of data, thus the three models are described as moment-based translation function models. In practical design, the length of wind pressure data used for analysis is often limited, resulting in sampling errors in the first four moments. These sampling errors will subsequently cause some sampling errors of the estimated extreme values. However, the differences among the sampling errors in moments and uncertainties in the estimation of extremes by these three models are not yet well studied unclear. To compare the sampling errors in the estimation of extremes by the three models, first, the HPM, JTM and SGLD were introduced. Next, the theoretical method for estimating the sampling error of peak factors based on moment-based translation function models were given. Then, the sampling errors of moments and peak factors by the three models were provided and compared based on the theoretical analysis. Finally, the results of sampling errors by HPM, JTM and SGLD were compared with each other using a very long wind tunnel test pressure data. The results show the effect of estimating sampling errors of non-Gaussian extremes by HPM is generally more satisfactory compared to that by JTM and SGLD. The results provide a guidance for the reasonable selection of models. © 2020, Editorial Office of Journal of Vibration and Shock. All right reserved.

引用

页码：20 / 26and43

页数：2623

共 16 条

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