journal article·2019-04

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

Haijie Wang, Xintian Liu, Minghui Zhang, Yansong Wang, Xiaolan Wang

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Abstract

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.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Metallurgy and Material Forming · Fatigue and fracture mechanics · Metal Forming Simulation Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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