Size effect in fatigue based on the extreme value distribution of defects

Lasse Makkonen, R. Rabb, Maria TIkanmäki

    Research output: Contribution to journalArticleScientificpeer-review

    22 Citations (Scopus)


    Fatigue limits need to be extrapolated from test specimens to manufactured products. The relevant industry standards provide a method for this by utilizing the statistics of defects in the material. We show here that the standard method involves an inappropriate definition. Moreover, it relates to the characteristic size of the largest defects, which is not associated with any unique exceedance probability. We outline a more consistent method which, by a quantile of the largest defects, relates the sample size effect to the desired failure probability. This method is applicable also to samples smaller than the test specimen.
    Original languageEnglish
    Pages (from-to)68-71
    Number of pages4
    JournalMaterials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing
    Publication statusPublished - 2014
    MoE publication typeA1 Journal article-refereed


    • fatigue
    • gracture
    • material defect
    • microanalysis
    • size effect
    • steel


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