![]() Firstly, wind tunnel tests of multi-degree-of-freedom aero-elastic models (MDOF) were carried out, wherein the along-wind and cross-wind responses of the MDOF model were measured. In view of this, this study carried out a series of multi-degree-of-freedom aero-elastic model wind tunnel tests to preliminarily study the peak factor of the wind-induced response of super high-rise buildings. Therefore, whether the calculation method of the wind pressure peak factor is applicable to the calculation of the wind-induced response peak factor is worth studying, as is how to choose the value of wind-induced response peak factor in wind-resistant design. Unfortunately, the existing research on the peak factor mainly focuses on the wind pressure on the building surface, but rarely concerns the wind-induced response peak factor of the structures. proposed an empirical method of wind pressure peak factor based on Hermite polynomials. put forward a calculation method of wind pressure peak factor that is suitable for short time history on the basis of generalized extreme value theory. put forward the extreme value calculation method of the non-Gaussian process based on the zero crossing theory. proposed the translated-peak-process method, suitable for all non-Gaussian processes. proposed an analytical formula to express the correlation relationship between Gaussian and non-Gaussian processes on the basis of the Hermite polynomial model. proposed an improved Hermite series method based on the Hermite series method. proposed a method to convert non-Gaussian processes into Gaussian processes by Hermite series approximations. Kwon and Kareem compared the peak factors calculated by the Davenport method and the non-Gaussian Hermite method and found that the Hermite method is more accurate to calculate the peak factor of non-Gaussian wind pressure of low-rise buildings. established the corresponding relationship between non-Gaussian random variables and Gaussian random variables using the moment-based Hermite transformation model and proposed an improved peak factor method. Thereafter, many research works indicated that the wind pressure in some areas of the building surface presents obvious non-Gaussian characteristics, and the peak factor of wind pressure calculated by the Gaussian hypothesis will be much smaller than the actual result, which led to the proposal of calculation methods to evaluate the non-Gaussian fluctuating wind pressure. As early as the 1960s, Davenport established the peak factor method based on the Gaussian hypothesis, which has attracted wide attention. Many researchers have studied the peak factor of wind pressure. Therefore, it is of great engineering significance to study the peak factor of these stochastic processes. Finally, an empirical formula for the cross-wind response peak factor was proposed as a function of the reduced wind speed, aspect ratio, and damping ratio of the structure.Īs is well known, the wind pressure and wind-induced responses of tall buildings are stochastic processes, and the peak factor is an important parameter to evaluate the extreme wind load and wind-induced response in wind-resistant design. The peak factor of cross-wind response first increases and then decreases with the increase in the wind speed, reaches the minimum near the critical wind speed of vortex-induced vibration (VIV), and increases again when the wind speed is larger than the VIV wind speed. The results calculated using the improved peak factor method show that the peak factor of cross-wind response varies significantly with the wind speed, varying from about 2.5 to 5.5. It was found that the peak factor calculated by the improved peak factor method is in good agreement with classical extreme value theory, which indicates that the improved peak factor method is applicable to calculate the peak factor of the wind-induced response of high-rise buildings. Thereafter, the peak factor of wind-induced response was calculated using the peak factor method, classical extreme value theory, and the improved peak factor method. Firstly, a series of wind tunnel tests of the multi-degree-of-freedom aero-elastic models (MDOF) were carried out, wherein the along-wind and cross-wind responses were measured. In view of this, the peak factor of the wind-induced response of super-high-rise buildings was studied in this paper. The existing research on the peak factor mainly focuses on the wind pressure on the building surface, but rarely concerns the wind-induced response peak factor of the structures. ![]() The wind-induced responses of tall buildings are stochastic processes, and the peak factor is an important parameter to evaluate the extreme value of the wind-induced response in wind-resistant design.
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