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 | |
| Publication status | Published - 2015 |
| MoE publication type | A1 Journal article-refereed |
Keywords
- comprehensive method
- standard practices
- statistical modelling
- statistics of extremes
- steel cleanness