Prediction of Fatigue Crack Growth of 2024-T351 by Grey GM(1,1) Model with Rolling Check

C.C. Ni

doi:10.4028/www.scientific.net/AMR.690-693.1779

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 690-693Prediction of Fatigue Crack Growth of 2024-T351 by...

Prediction of Fatigue Crack Growth of 2024-T351 by Grey GM(1,1) Model with Rolling Check

Abstract:

The study is focused on the investigations into applying the grey model with rolling check to the prediction of fatigue crack growth. Fatigue crack growth data of compact tension specimens made of 2024-T351 aluminum-alloy plate tested under constant-amplitude loads were carried out for verifications. The optimal values of parameter affecting the accuracy of prediction were found by variational analysis. Using four experimental crack lengths as the source series and the optimal value of parameter for modelling with rolling check, it was found almost entire fatigue crack growth curve of the specimen can be predicted accurately. Besides, the analyzed results including number of rolling check performed, loading cycle corresponding to the maximum predicted crack length, fractured cycle of specimen, cycle ratio of loading cycle and fractured cycle, and percentage of error between maximum predicted and experimental crack length for all specimens were tabulated.

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Periodical:

Advanced Materials Research (Volumes 690-693)

Pages:

1779-1783

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.690-693.1779

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Online since:

May 2013

Authors:

C.C. Ni

Keywords:

2024-T351, Fatigue Crack Growth (FCG), Grey GM(1,1) Model, Rolling Check

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