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Prediction of material fatigue parameters for low alloy forged steels considering error circle

Authors :
Minghui Zhang
Yansong Wang
Xintian Liu
Haijie Wang
Xiaolan Wang
Source :
International Journal of Fatigue. 121:135-145
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

Since small sample data are obtained in the material fatigue life test, the result of S-N curve can deviate greatly from the real results. In order to address this kind of problem and improve the credibility of S-N curve, we introduce the error circle in the Bootstrap method, which makes the results of the sample more reasonable. Bootstrap error circle method is proposed in this paper, and the parameter characteristics of samples in the error range such as mean and confidence interval by processing the original samples are acquired, which improves the reasonable of the samples. The Bootstrap error circle method is used to modify the limitations of the Bootstrap method so as to reduce the sample error and obtain a more reasonable estimate. In this paper, a more reasonable S-N curve is obtained, and it can predict the life of product.

Details

ISSN :
01421123
Volume :
121
Database :
OpenAIRE
Journal :
International Journal of Fatigue
Accession number :
edsair.doi...........e2a34634b366ed38a48220f6c4d66b1e
Full Text :
https://doi.org/10.1016/j.ijfatigue.2018.12.002