MATEC Web of Conferences
Volume 12, 2014FDMD II - JIP 2014 - Fatigue Design & Material Defects
|Number of page(s)||2|
|Section||Session 2: Probabilistic Model|
|Published online||09 June 2014|
Towards proper sampling and statistical analysis of defects
1 4Subsea AS, Norway
2 VTT, Finland
3 Aalto University, Finland
a Corresponding author: firstname.lastname@example.org
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.
© Owned by the authors, published by EDP Sciences, 2014
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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