Modeling of Fluctuating Wind Velocity Amplitude Spectrum Based on Onsite Monitoring Data

Abstract:

The modeling of wind load is essential for the antiwind design and safety assessment of structures. The fluctuating wind power spectra in given specifications were not capable of fully expressing the probability information of the fluctuating wind velocity, which was seen as stochastic process. The general empirical expression of fluctuating wind amplitude spectrum was introduced by dimensional analysis and its specific Davenport form was proposed according to field measured wind velocity data. The parameters of Davenport empirical fluctuating wind amplitude spectrum were estimated by using the PSO(partical swarm optimization) algorithm and three specific applications of this model were put forward when different known conditions are met. Compared with the measured data, the stochastic Davenport empirical amplitude spectrum model proposed in this paper could accurately describe the statistical properties of the local wind field, thus improve the modeling accuracy of the filed wind load.