Analysis Of Wind Characteristic Near Ground During Tyhoon And Wind Induced Vibration Measurement Of Super Tall Building

With the rapid development of China's economy,high-performance building materials and new construction technologies have been used in the construction of super high-rise building.However,the super high-rise building structure became more and more sensitive to the wind,because the basic period of structures become longer and the damping becomes smaller.Therefore,it is very important to compute the wind-induced vibration response of the structure accurately before the construction of the structure.In this paper,we use measured data to research how to compute the wind-induced vibration response more accurate in two points:(1)wind field characteristics;(2)dynamic characteristics of structures.In this paper,we use the wind speed data of Tyhoon Hato collected by the Shenzhen meteorological gradient tower to investigate the characteristic of wind profile and turbulence characteristics of the boundary layer.We also use this data to calculate the aerodynamic parameters and investigate the effective of different wind profile model and establish the turbulence characteristics profile model,this model is meaningful for other engineering design.In this paper,we compare the measured power spectrum of wind speed and the different experience power spectrum of wind speed and calculate the error of different experience turbulence to evaluate the performance of different power spectrum of wind speed.We established a measured system in the KK100.We use the wind data to investigate the wind field characteristics over Shenzhen.We use the acceleration response signal to calculate the basic natural vibration period of KK100,we also use the acceleration response signal to investigate the relationship between damping ratio and the amplitude of acceleration response.Finally,we use the measured wind data and acceleration response signal to discuss whether the design of KK100 satisfied the requirement of the comfortable code.We use the wind data and the machine-learning algorithm to establish a better power spectrum model of wind speed,and then we use this new power spectrum of wind speed and the improved synthetic Fourier method to generate the turbulence wind field according the measured parameters of wind field.Finally,we compare the parameters of the generated turbulence wind field and measured wind field.