Experimental identification on natural frequency of structure using multi-objective optimizing method

Abstract

Dynamic FE analysis is valid for designing rotating machinery to reduce its vibration problem. So the accuracy of the analysis is required for this purpose. Surrogate multiple objective optimization method is available for structural identification improving the FE analysis model of a structures to adjust the natural frequency analysis results to the experimental results. In this study the structural identification method is applied to stator end-windings of a turbine generator to determine the Young’s modulus of the principal components on the FE model minimizing the analysis errors of the natural frequencies of the 2-lobe and 4-lobe circular modes to the corresponding experimental results. The accurate FE model of the end-windings is obtained by this method.