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

Wan Jie Zou; Zhen Luo; Guo En Zhou

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 163-167Study on Benchmark Structure Damage Identification...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 163-167)

Pages:

2765-2769

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.163-167.2765

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Online since:

December 2010

Authors:

Wan Jie Zou, Zhen Luo, Guo En Zhou

Keywords:

Benchmark Structure, Cross Signature Assurance Criterion (CSAC), Damage Identification, Frequency Response Function (FRF), Genetic Algorithm (GA)

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References

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