Identifying modal parameters of super tall buildings based on RDT and WT methods

The strong wind-induced responses of Shanghai Jin Mao mansion from field measurements were analyzed by the wavelet transformation (WT) with a kernel function, the Morlet wavelet, combined with the random decrement technique (RDT). Its natural frequencies and corresponding damping ratios were identified. The numerical result shows that the identification of structural natural freguencies is considerably accurate, while with the increase of order, the standard deviation of damping ratios is growing up.