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• W3040102634 abstract "In this paper, PSV-500 laser vibration detector and 941B vibration pick-up are used to measure the ambient vibration of an actual aqueduct in China, and the peak picking method is used to identify the modal parameters of the aqueduct. The finite element model of the aqueduct is established, and a model updating method based on multi-objective optimization algorithm is proposed. Based on the sensitivity analysis, the parameters to be updated are selected. The model is updated by the fast non dominated sorting genetic algorithm, and the Pareto optimal solution set of the multi-objective optimization problem is obtained. The comparison between the measured and calculated results shows that the results of static displacement and modal parameters are in good agreement with the measured values. The result of the research shows that the static and dynamic finite element model updating method based on multi-objective optimization can achieve satisfactory results for long-span aqueduct structure, and the updated finite element model can accurately and comprehensively simulate the actual structure." @default.
• W3040102634 created "2020-07-10" @default.
• W3040102634 creator A5042661564 @default.
• W3040102634 creator A5089966773 @default.
• W3040102634 date "2020-06-30" @default.
• W3040102634 modified "2023-10-10" @default.
• W3040102634 title "Modal parameter identification and finite element model updating of a long-span aqueduct structure based on ambient excitation" @default.
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• W3040102634 doi "https://doi.org/10.21595/jve.2020.21271" @default.
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