Paper
13 November 1996 Identification of the dynamic behavior of bridges under ambient excitation using wavelet transform
Alessandro Fasana, Luigi Garibaldi, Bruno A. D. Piombo, Massimo Ruzzene
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Abstract
This paper deals with the identification of the dynamic behavior of bridges under ambient excitation. The technique here presented allows the estimation of modal parameters using transient data excitations, i.e., the vehicle passage, without requiring any traffic limitation, this fact representing a consistent advantage of the motorway companies. In this paper, the wavelet transform as a time- frequency distribution is proposed for system identification under different traffic conditions: particularly, it is shown how the wavelet analysis of the free response of a real system allows the estimation of natural frequencies, viscous damping ratios and mode shapes with a good precision. The accuracy of this identification technique is firstly proved performing the analysis on a mathematical model of a multi-supported beam with moving loads, simulating a bridge excited by traffic; finally, the acceleration responses from a real bridge, the Queensborough Bridge in Vancouver, Canada, under ambient excitations, are successfully analyzed. The results obtained using this procedure show a good agreement with those already presented in other papers referred to the dynamic identification of the same Queensborough Bridge and reported in references.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alessandro Fasana, Luigi Garibaldi, Bruno A. D. Piombo, and Massimo Ruzzene "Identification of the dynamic behavior of bridges under ambient excitation using wavelet transform", Proc. SPIE 2946, Nondestructive Evaluation of Bridges and Highways, (13 November 1996); https://doi.org/10.1117/12.259146
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Bridges

Wavelets

Radon

Wavelet transforms

Time-frequency analysis

System identification

Data analysis

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