Fatigue assessment of welded joints using extreme value statistics and laser-based weld toe geometry analysis

This paper presents a novel approach for fatigue assessment of welded joints by employing extreme value statistics to predict the most critical weld toe geometry in welded structures. The methodology integrates advanced laser line sensor technology for precise weld geometry measurements, allowing the identification of geometrical features that are most likely to contribute to fatigue failure. By applying extreme value statistical techniques, the approach emphasizes the criticality of localized weld toe imperfections, providing a more accurate prediction of fatigue life compared to traditional methods. This technique offers improved reliability in fatigue life estimation for large welded structures, particularly in high-stress applications, and enhances the safety and durability of engineering designs.

Subjects

Geometrical Feature Extraction

Laser Line Sensors

Non-Destructive Testing

Weld Imperfections

Weld Quality Assessment

DDC Class

620.11: Engineering Materials

Lizenz

https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication version

publishedVersion

Name

1-s2.0-S245232162500544X-main.pdf

Type

Main Article

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744.71 KB

Format

Adobe PDF

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Fatigue assessment of welded joints using extreme value statistics and laser-based weld toe geometry analysis