Peak factors of non‐Gaussian wind forces on a complex‐shaped tall building

Abstract

SUMMARY This paper focuses on the development of peak factor formulas of non‐Gaussian wind pressure processes after reviewing the current estimation methods of non‐Gaussian peak factors. A skewness‐dependent peak factor is proposed by accounting for the contribution of skewness and kurtosis parameters in some existing Hermite moment‐based formulas. The possible correction on the upcrossing rate used in the translation process approach is also investigated. Wind tunnel pressure data on a practical 43‐story building with unusual shape is used to validate the accuracy of the skewness‐dependent peak factor by investigating various statistical properties of wind‐induced fluctuating pressure field on the complex‐shaped tall building example. Copyright © 2012 John Wiley & Sons, Ltd.

Dynamic Analysis of Overhead Transmission Lines under Turbulent Wind Loading

“…The peak factors from [19] are always close to 3. Peak factors with [20] method are close to experimental peak factors from wind tunnel tests by [21]. However, if the kurtosis is too high or too low the peak factors from [20] are also higher and lower respectively than the experimental values.…”

“…The skewness and kurtosis for the 4 response parameters for the 7 wind fields can be seen in Table 5 which shows that response is not Gaussian. [20] and [21] have presented approaches to calculate the peak factors for non-Gaussian stationary processes. These 2 methods were chosen to compare the extreme values for the response.…”

“…;  is the frequency of occurrence of zero crossings with positive slopes only (Equation (8)); parameters 3 h and 4 h control the shape of the distribution and  is the scaling factor given by Equation 12 [21] studied the peak factor of mild non-Gaussian process. They recommended a simplified empirical formula for non-Gaussian peak factor dependent only on the skewness but effect of mild softening has been empirically calibrated (Equation 12 (13) where the variables have the same meaning as in Equation (10).…”

“…Peak factors for these parameters using the above methods are shown in Table 5. Experimental works by [21], [23] and [24] proves that the peak factors from [19] method not accurate as the process becomes non-Gaussian. The peak factors from [19] are always close to 3.…”

Peak factor estimation of non‐Gaussian wind pressure on high‐rise buildings

“…KEYWORDS extreme value, high-rise building, Johnson transformation, non-Gaussian process, peak factor, wind pressure 1 | INTRODUCTION Non-Gaussian wind pressure processes have been encountered in many in-situ measurements [1][2][3] and wind tunnel tests. [4][5][6][7] Numerous researches devoted to explore more reasonable and accurate approaches for determining the extreme values of the non-Gaussian process. [8][9][10] Currently, the vast majority of algorithms for determining the non-Gaussian extrema are based on the transformation process theory (TPT) proposed by Grigoriu.…”