Towards proper sampling and statistical modelling of defects

Ali Cetin (Corresponding Author), Andrew Roiko, M. Lind

    Research output: Contribution to journalArticleScientificpeer-review

    2 Citations (Scopus)

    Abstract

    Predicting the size of the largest defect expected to occur in components based on samples obtained from polished inspection areas is a common exercise, which is even addressed in standards. However, the standard practice may occasionally yield poor results. This paper presents a comprehensive method that aims to improve some of the shortcomings of the standard practice. The method is utilized on actual defect data, which showed that the proposed method is able to predict significant experimental observations that the standard practice missed.
    Original languageEnglish
    Pages (from-to)1056-1065
    JournalFatigue & Fracture of Engineering Materials & Structures
    Volume38
    Issue number9
    DOIs
    Publication statusPublished - 2015
    MoE publication typeA1 Journal article-refereed

    Keywords

    • comprehensive method
    • standard practices
    • statistical modelling
    • statistics of extremes
    • steel cleanness

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