Numerical simulation of stochastic wind field and wind vibration control for high buildings
随机风速场的数值模拟及高层建筑风振控制

By employing the auto-regressive(AR) method, we use the Davenport wind speed power spectrums to simulate the stochastic fluctuating wind field and the cross-spectral density function for a spatial-correlated, stationary multivariate stochastic process. The superiorities in accuracy and efficiency of this technique are shown by comparing the simulation results with those obtained with the Davenport target spectrums. The model of a 76-story 306 m-high reinforced concrete structure recommended by the second generation benchmark vibration control for building is studied. Numerical results of the structural dynamic-response to the tuned-mass-damper(TMD) control and the linear quadratic Gaussian(LQG) control are obtained respectively.