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Prediction of material fatigue parameters for low alloy forged steels considering error circle
- 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.
- Subjects :
- Mechanical Engineering
Small sample
Sampling error
Sample (statistics)
02 engineering and technology
021001 nanoscience & nanotechnology
Industrial and Manufacturing Engineering
Confidence interval
Material fatigue
020303 mechanical engineering & transports
0203 mechanical engineering
Mechanics of Materials
Modeling and Simulation
Range (statistics)
General Materials Science
Life test
0210 nano-technology
Algorithm
Mathematics
Subjects
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