Based on the displacement and acceleration data of an aeroelastic wind tunnel test of the Geiger type cable dome model,empirical mode decomposition method,improved random decrement technique and Hilbert transformation are combined to identify the aerodynamic damping,and the results comfirm that the method is simple,stable and effective.

Based on the data of wind tunnel test of aeroelastic Geiger cable dome model,the method of empirical mode decomposition is used to distill the intrinsic mode function,then the improved random decrement technique and Hilbert transformation are used to get the aerodynamic damping ratio,and the result shows that this kind of method is stable and effctive.

This paper introduced stratified sampling,and applied it to random decrement methods,which lead to good results.

The theoretical basis to estimate nonlinear roll damping with the random decrement method is investigated by analyzing the test data of a model ship rolling in regular and irregular waves, and problems arising from the data processing are discussed.

This research addresses the application problem of multi-stage sampling on random decrement method for parameter identification of a dynamic system.

Application of random decrement technique for model parameter identification about locomotive and vehicle wheelsets;

In view of the feature of flight flutter test data with atmospheric turbulence excitation, a method which combines wavelet transformation with random decrement technique for identifying flight flutter modal parameters is presented.

Vibrationg acceleration of CW-200 bogie frame is measured on real line and modal parameter of frame is identified by random decrement technique.

This work proposed an improved random walk algorithm,which made full use of the information obtained from a walk.

The advanced stochastic imperfection method is used to research the imperfection sensitive region of single-layer latticed domes.