Towards proper sampling and statistical modelling of defects

Ali Cetin; Andrew Roiko; M. Lind

doi:10.1111/ffe.12317

Towards proper sampling and statistical modelling of defects

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

Research output: Contribution to journal › Article › Scientific › peer-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 language	English
Pages (from-to)	1056-1065
Journal	Fatigue & Fracture of Engineering Materials & Structures
Volume	38
Issue number	9
DOIs	https://doi.org/10.1111/ffe.12317
Publication status	Published - 2015
MoE publication type	A1 Journal article-refereed

Keywords

comprehensive method
standard practices
statistical modelling
statistics of extremes
steel cleanness

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10.1111/ffe.12317

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