Study on Benchmark Structure Damage Identification Base on Frequency Response Function and Genetic Algorithm

Abstract:

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A combined method for the Benchmark structure damage identification base on the frequency response function(FRF) and genetic algorithm(GA) is presented. The reducing factors of element stiffness are used as the optimization variables, and the cross signature assurance criterion (CSAC) of the test FRF and the analysis FRF is used to constructing the optimization object function and the fitness function of the GA. To avoid the weakness of binary encoding, the floating point number encoding is used in the GA. At last, the Benchmark structure established by IASC-ASCE SHM group is caculated by the proposed method, the results show that even if the serious testing noise is considered, the patterns of damage of the Benchmark structure can be identified well. The effectiveness of the presented method is verified.

Info:

Periodical:

Advanced Materials Research (Volumes 163-167)

Edited by:

Lijuan Li

Pages:

2765-2769

DOI:

10.4028/www.scientific.net/AMR.163-167.2765

Citation:

W. J. Zou et al., "Study on Benchmark Structure Damage Identification Base on Frequency Response Function and Genetic Algorithm", Advanced Materials Research, Vols. 163-167, pp. 2765-2769, 2011

Online since:

December 2010

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Price:

$35.00

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