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Systematic statistical characterisation of stress-life datasets using 3-Parameter distributions

Research output: Contribution to journalArticle

Original languageEnglish
Article number105216
Number of pages15
JournalInternational Journal of Fatigue
Volume129
Early online date31 Jul 2019
DOIs
DateAccepted/In press - 30 Jul 2019
DateE-pub ahead of print - 31 Jul 2019
DatePublished (current) - 1 Dec 2019

Abstract

The variability present in S-N datasets is typically characterised using probability distributions to enable the construction of Probability-S-N curves for design. 3-Parameter Log-Normal and Weibull distributions have been proposed as alternative distributions to the commonly assumed 2-Parameter Log-Normal distribution. This paper performs statistical characterisation of a 4340 steel S-N dataset from the Engineering Sciences Data Unit using a systematic methodology. The 3-Parameter Weibull distribution provided improved characterisation of the S-N dataset. Using a case study, it was also demonstrated that use of a 3-Parameter Weibull distribution can increase component safe-life values by 20% when compared to the 2-Parameter Log-Normal distribution.

    Research areas

  • Fatigue Design, Probabilistic Analysis, S-N Curves, Statistics

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Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://doi.org/10.1016/j.ijfatigue.2019.105216 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1.16 MB, PDF document

    Embargo ends: 31/07/20

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    Licence: CC BY-NC-ND

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