Abstract

Dynamic parameter inversion of pump room structure is particularly important for evaluating the health status of pump room structure. In order to improve the efficiency of inversion parameters, based on improved genetic algorithm, this paper uses measured first-order frequency and measured acceleration peak value to construct dual objective functions. At the same time, back analysis is used to analyze the material parameters and boundary conditions of pump room structure. Moreover, inverse parameters of pump room structure are used to calculate dynamic characteristics. Huaian Three Station as the engineering background, the result shows that: the dual objective function is simple and efficient. Besides, its calculation accuracy is higher than that of the single objective function.

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