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

By Haijie Wang, Xintian Liu, Minghui Zhang, Yansong Wang, Xiaolan Wang. International Journal of Fatigue, 2019

51 citations recorded by the source corpus.

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.

Subfields: Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/2531441539d981dbac5e7ae6839c8551676f5718