Experimentation Study of Damage Identification for Steel-Frame Structure Based on AR Model

Ning Zhang; Zhuo Bin Wei; Sen Wu

doi:10.4028/www.scientific.net/AMR.490-495.334

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495Experimentation Study of Damage Identification for...

Experimentation Study of Damage Identification for Steel-Frame Structure Based on AR Model

Abstract:

By using the AR (Auto-regressive) self-regression model, structure acceleration data are fitted. By using fitted coefficients, the characteristic vector of structure damage is constructed. Based on the Mahalanobis distance of the characteristic vectors under different states, the index of structure damage is designed. By comparing the characteristic index of healthy structures and the damaged ones, damages can be detected. By an experiment of damage identification on steel-frame structure model, the effectiveness of the method is validated.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

334-338

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.334

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Online since:

March 2012

Authors:

Ning Zhang, Zhuo Bin Wei, Sen Wu

Keywords:

Autoregressive AR Model, Mahalanobis Distance, Steel-Frame Structure, Structure Damage Identification

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References

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