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- W2316485005 abstract "<p>One innovational Hilbert-Huang Transform (HHT) is adopted to identify the modal parameters of one certain model combined cable-stayed suspension bridge. The band pass filtering method and extended random decrement technique are engaged to improve the HHT for identifying modal parameters more accurately, and a software package for the innovational algorithm is compiled on the MATLAB platform to identify the bridge structural modal parameters. The modal parameters of this model bridge are identified from the measured under ambient testing conditions, and the identified modal parameters are compared with the theoretical result of ABAQUS. The validity, practicability and superiority of the proposal method are verified. The results show that the proposed modal parameter identification algorithm can be used in the real bridge engineering to identify the modal parameters.</p>" @default.
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- W2316485005 date "2013-01-01" @default.
- W2316485005 modified "2023-09-25" @default.
- W2316485005 title "Modal Parameters Identification of Bridge Structure Based on Time-Frequency Domain" @default.
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- W2316485005 doi "https://doi.org/10.2749/222137813808627785" @default.
- W2316485005 hasPublicationYear "2013" @default.
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