Application of Wavelet Transform to Modal Parameter Identification of the Concrete-Filled Steel Tube Arch Bridge


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It’s important to identify structural modal parameter in time and accurately for structural health monitoring and damage identification. Wavelet analysis is one of the various kinds of identification methods, which has been used in linear and nonlinear system response data since it can decompose signals simultaneously both in time-domain and frequency-domain with adaptive windows. In this paper, taking Bariba Bridge as an example, the modal analysis results obtained from the finite element model are compared with those estimated from the wavelet transform method. Good coincidence of results can be observed, which demonstrates that the built-up finite element model reflects the bridge’s real dynamic properties, and can serve as a baseline model for its dynamic response analysis under complicated excitations, long-term health monitoring and structural service state assessment.



Advanced Materials Research (Volumes 250-253)

Edited by:

Guangfan Li, Yong Huang and Chaohe Chen






W. Huang and G. J. He, "Application of Wavelet Transform to Modal Parameter Identification of the Concrete-Filled Steel Tube Arch Bridge", Advanced Materials Research, Vols. 250-253, pp. 2446-2450, 2011

Online since:

May 2011




[1] Cole H A. On the line analysis of random vibration [J]. AIAA, 1968, (68): 288-319.

[2] Cole H A. On the line failure detection and damping measurement of aerospace structure by random decrement signature [J]. NASA CR, 1973, 2205.

[3] James G H, Carne T G , Lauffer J P. The natural excitation technique (NExT) for modal parameter extraction from operating structures [J]. International Journal of Analytical and Experimental Modal Analysis, 1995, 10(4); 260-277.

[4] Brown D L, et al . Parameter Estimation Technique for Modal Analysis, SAE paper 790221, (1979).

[5] Vold H, Rocklin G F. The Numerical Implementation of a Multi-Input Modal Estimation Method for Mini-Computer, IMAC, (1982).

[6] Juang J N, Pappa R S. An Eigensystem Realization Algorithm for Modal Paremeter Identification and Modal Reduction, J. Guid. Control, and Dyn., 8, 1985, 620~627.

[7] Van Overschee P., De Moor B., Subspace Algorithms for the Stochastic Identification Problem. Automatica, 1993, 29(3): 649~660.

DOI: 10.1016/0005-1098(93)90061-w

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