Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 1056-1065 |
| Journal | Fatigue & Fracture of Engineering Materials & Structures |
| Volume | 38 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2015 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- comprehensive method
- standard practices
- statistical modelling
- statistics of extremes
- steel cleanness
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Towards proper sampling and statistical modelling of defects. / Cetin, Ali (Corresponding Author); Roiko, Andrew; Lind, M.
In: Fatigue & Fracture of Engineering Materials & Structures, Vol. 38, No. 9, 2015, p. 1056-1065.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Towards proper sampling and statistical modelling of defects
AU - Cetin, Ali
AU - Roiko, Andrew
AU - Lind, M.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - comprehensive method
KW - standard practices
KW - statistical modelling
KW - statistics of extremes
KW - steel cleanness
U2 - 10.1111/ffe.12317
DO - 10.1111/ffe.12317
M3 - Article
VL - 38
SP - 1056
EP - 1065
JO - Fatigue & Fracture of Engineering Materials & Structures
JF - Fatigue & Fracture of Engineering Materials & Structures
SN - 8756-758X
IS - 9
ER -