Reconstruction of the Material Probabilistic S-N Relations under Fatigue Life Following Lognormal Distribution I-without Given Confidence

Yong Xiang Zhao; Bing Yang; Wei Hua Zhang

doi:10.4028/www.scientific.net/KEM.324-325.1043

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 324-325Reconstruction of the Material Probabilistic S-N...

Reconstruction of the Material Probabilistic S-N Relations under Fatigue Life Following Lognormal Distribution I-without Given Confidence

Abstract:

Fatigue reliability theory has recently verified that the sampling size related effect should be taken into account by confidence (C). However, most of the historic probabilistic S-N curves are given to only consider the scattered regularity effect by survival probability (P). Therefore, a reconstruction method of the historic curves is investigated to consider the sampling size effect. An effort is made on addressing the true production that the sampling size is less than 20 for material specimens and 10 for structural component specimens. A Monte Carlo simulation approach is first established to reconstruct the test S-N data. And then, the P-C-S-N curves are reconstructed with a general maximum likelihood principle. The practice for 40Cr steel has clearly indicated that, beyond all doubt, the reconstructed curves has overcome the shortages of the historic data.

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Periodical:

Key Engineering Materials (Volumes 324-325)

Pages:

1043-1046

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.324-325.1043

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Online since:

November 2006

Authors:

Yong Xiang Zhao, Bing Yang, Wei Hua Zhang

Keywords:

Fatigue, Longnormal Distribution, Probabilistic Curves, Reconstruction

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References

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