Abstract
The wind pressure time history of high-rise building cladding is mostly non-Gaussian distribution, and there is a one-to-one correspondence between a specified guarantee rate and its corresponding peak factor. A stepwise search method for calculating the peak factor of non-Gaussian wind pressure and a gradual independent segmentation method for extracting independent peak values have been proposed to determine the relationship accurately in the previous study. Based on the given experiment and calculation results in the existing research results, more analysis can be given to enrich the study on this topic. In this paper, some characteristics of wind pressure coefficient time series in time and frequency domain are analysed. Based on the basic theory of fractal, the R/S analysis of wind pressure time series is made, and the fractal characteristics of wind pressure coefficient time series are explained. Based on the statistical theory, the relationship characteristics between high-order statistics and peak factors are studied. The correlation between the guarantee rate and the corresponding peak factor is analysed, and the guarantee rates calculated by the Davenport peak factor method are evaluated. The power spectrum characteristics of fluctuating wind pressure are analysed and the relationship between turbulence characteristic frequency and optimal observation time interval is discussed.
Highlights
In [1], a stepwise search method for calculating the peak factor of non-Gaussian wind pressure and a gradual independent segmentation method for extracting independent peak values have been proposed
Based on the pressure data of a high-rise building obtained from a rigid model wind tunnel test, the peak factors of non-Gaussian wind pressures on cladding are calculated and compared using several typical methods. e value of the peak factor and its error rate calculated by several methods is compared with the observed average peak value, and the conversion between the guaranteed rate and the peak factor is discussed
Based on the experiments and data in paper [1], further analysis is given, and the following conclusions are obtained after detailed discussion: (1) e relationship between log (R/s)S analysis of wind pressure time series based on rescaled range method shows that the series has fractal characteristics
Summary
In [1], a stepwise search method for calculating the peak factor of non-Gaussian wind pressure and a gradual independent segmentation method for extracting independent peak values have been proposed. Based on the pressure data of a high-rise building obtained from a rigid model wind tunnel test, the peak factors of non-Gaussian wind pressures on cladding are calculated and compared using several typical methods. Based on the reliability theory, the true distribution of wind pressure time history is approached infinitely through an efficient numerical method in the process of stepwise search. In the discussion of calculation results, conversion between the guarantee rate and peak factor is given. Ese conclusions help to illustrate the effectiveness of the algorithm and are very meaningful for the study of wind pressure time series. More analysis and conclusion are given to enrich the study in paper [1]
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