Towards proper sampling and statistical modelling of defects

A. Cetin; A. Roiko; M. Lind

doi:10.1111/ffe.12317

Towards proper sampling and statistical modelling of defects

A. Cetin^*, A. Roiko, M. Lind

^*Corresponding author for this work

School common, SCI

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
Number of pages	10
Journal	Fatigue and Fracture of Engineering Materials and Structures
Volume	38
Issue number	9
DOIs	https://doi.org/10.1111/ffe.12317
Publication status	Published - 1 Sep 2015
MoE publication type	A1 Journal article-refereed

Keywords

statistical model
statistics of extremes
steel
steel cleanness

Access to Document

10.1111/ffe.12317

Link to publication in Scopus

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KW - steel

KW - steel cleanness

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