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• W2765201280 abstract "Modal parameter identification is the first step in structural health monitoring of existing structures. Already, many powerful methods have been proposed for this concept and each method has some benefits and shortcomings. In this study, a new method based on local mean decomposition is proposed for modal identification of civil structures from free or ambient vibration measurements. The ability of the proposed method was investigated using some numerical studies and the results compared with those obtained from the Hilbert–Huang transform (HHT). As a major advantage, the proposed method can extract natural frequencies and damping ratios of all active modes from only one measurement. The accuracy of the identified modes depends on their participation in the measured responses. Nevertheless, the identified natural frequencies have reasonable accuracy in both cases of free and ambient vibration measurements, even in the presence of noise. The instantaneous phase angle and the natural logarithm of instantaneous amplitude curves obtained from the proposed method have more linearity rather than those from the HHT algorithm. Also, the end effect is more restricted for the proposed method." @default.
• W2765201280 created "2017-11-10" @default.
• W2765201280 creator A5029389534 @default.
• W2765201280 creator A5087047864 @default.
• W2765201280 date "2018-01-17" @default.
• W2765201280 modified "2023-10-06" @default.
• W2765201280 title "Structural modal parameter identification using local mean decomposition" @default.
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• W2765201280 doi "https://doi.org/10.1088/1361-6501/aa97f4" @default.
• W2765201280 hasPublicationYear "2018" @default.
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