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Modal Parameter Statistical Tdentification Based on Tmproved Random Decrement Technique and Wavelet Transform

 Modal Parameter Statistical Tdentification Based on Tmproved Random Decrement Technique and Wavelet Transform
Author(s): ,
Presented at IABSE Conference: Elegance in structures, Nara, Japan, 13-15 May 2015, published in , pp. 296-297
DOI: 10.2749/222137815815775097
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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 di...
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Bibliographic Details

Author(s):

Medium: conference paper
Language(s): English
Conference: IABSE Conference: Elegance in structures, Nara, Japan, 13-15 May 2015
Published in:
Page(s): 296-297 Total no. of pages: 8
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.

Keywords:
Wavelet transform modal parameter identification improved RDT Bootstrap method noise resistance