Modal Parameter Statistical Tdentification Based on Tmproved Random Decrement Technique and Wavelet Transform
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Bibliografische Angaben
Autor(en): |
Jianfeng Liu
Qiwei Zhang |
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Medium: | Tagungsbeitrag | ||||
Sprache(n): | Englisch | ||||
Tagung: | IABSE Conference: Elegance in structures, Nara, Japan, 13-15 May 2015 | ||||
Veröffentlicht in: | IABSE Conference Nara 2015 | ||||
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Seite(n): | 296-297 | ||||
Anzahl der Seiten (im PDF): | 8 | ||||
Jahr: | 2015 | ||||
DOI: | 10.2749/222137815815775097 | ||||
Abstrakt: |
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. |