Towards proper sampling and statistical analysis of defects

Ali Cetin (Corresponding author), Andrew Roiko, Mina Lind

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


    Advancements in applied statistics with great relevance to defect sampling and analysis are presented. Three main issues are considered; (i) proper handling of multiple defect types, (ii) relating sample data originating from polished inspection surfaces (2D) to finite material volumes (3D), and (iii) application of advanced extreme value theory in statistical analysis of block maximum data. Original and rigorous, but practical mathematical solutions are presented. Finally, these methods are applied to make prediction regarding defect sizes in a steel alloy containing multiple defect types
    Original languageEnglish
    Title of host publicationFDMD II - JIP 2014 - Fatigue Design & Material Defects
    EditorsJ.Y. Buffière, M. Brune, F. Brunel, Y. Nadot
    Place of PublicationParis
    PublisherEDP Sciences
    ISBN (Print)978-2-7598-1274-5
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    EventFatigue Design and Material Defects, FDMD II - JIP 2014 - Paris, France
    Duration: 11 Jun 201413 Jun 2014

    Publication series

    SeriesMATEC Web of Conferences


    ConferenceFatigue Design and Material Defects, FDMD II - JIP 2014
    Abbreviated titleFDMD II - JIP 2014


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