Modal Parameter Statistical Tdentification Based on Tmproved Random Decrement Technique and Wavelet Transform
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Bibliographic Details
Author(s): |
Jianfeng Liu
Qiwei Zhang |
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Medium: | conference paper | ||||
Language(s): | English | ||||
Conference: | IABSE Conference: Elegance in structures, Nara, Japan, 13-15 May 2015 | ||||
Published in: | IABSE Conference Nara 2015 | ||||
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Page(s): | 296-297 | ||||
Total no. of pages: | 8 | ||||
Year: | 2015 | ||||
DOI: | 10.2749/222137815815775097 | ||||
Abstract: |
This paper presents a new statistical identification method for modal parameter based on improved random decrement technique and wavelet transform. Improved random decrement technique can make a direct deal with zero mean non-stationary signals for free decay responses. The time- frequency characteristics of the wavelet transform can decouple dense frequency and low damping system. The bootstrap procedure is employed to evaluate and decrease the uncertainty of identification results. A complete theoretical derivation is proposed and a numerical example which is a four-degree-of-freedom system is used to illustrate the reliability of the proposed method. Compared with the traditional time-domain method and the wavelet transform only method, the presented method has higher recognition accuracy, especially for damping ratio coefficients. |
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Keywords: |
Wavelet transform modal parameter identification improved RDT Bootstrap method noise resistance
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