Research on model updating method of high- speed maglev guideway based on wavelet transform and optimization algorithm

Because the maglev guideway is a vital infrastructure of high-speed maglev train, it is of great significance for the guideway structure to analyze dynamic response and assess structural health of the guideway in research. This paper proposed a model updating method of the high-speed maglev guideway based on wavelet transform(WT) and optimization algorithm, which are used to analyze the dynamic response and assess health. Taking the 600 km/h high-speed maglev test vehicle as the excitation, the field test was carried out on the High-speed Maglev Test Line. The measured dynamic responses of the guideway were obtained, and the measured modal parameters were identified by WT. The finite element(FE) model of guideway was established, considering the elastic boundary conditions and material properties, and the initial modal parameters of the guideway were obtained. Based on the FE model, the response surface model of the guideway was constructed and the objective function of the simulated modal parameters and the measured modal parameters was established. Considering the constraint conditions, the optimal solution of the objective function was found by the optimization algorithm, and the elastic boundary conditions and material properties of the FE model were optimized and updated. The research results indicated that the dynamic response of the updated FE model was highly correlated with the measured dynamic response and proved strongly the effectiveness of the proposed method. A more accurate model updating method for the dynamic response analysis and health assessment of the high-speed maglev guideway was provided by this paper.