Preprint has been published in a journal as an article
DOI of the published article https://doi.org/10.1016/j.ijfatigue.2021.106293
Preprint / Version 1

An algorithm for statistical evaluation of weld toe geometries using laser triangulation

##article.authors##

  • Finn Renken
  • Rüdiger Ulrich Franz von Bock und Polach
  • Jan Schubnell
  • Matthias Jung
  • Markus Oswald
  • Sören Ehlers
  • Klemens Rother
  • Moritz Braun https://orcid.org/0000-0001-9266-1698

DOI:

https://doi.org/10.31224/osf.io/pk4tu

Keywords:

3-D scans, Local toe geometry, statistical assessment, stress concentration factor, weld classification

Abstract

Commonly, to evaluate the influence of the local weld geometry in fatigue test, small-scale specimens are used, assuming those represent a longer weld adequately. In this study, a comparison between short specimens and a long weld is performed. A method is developed for the statistical evaluation of weld toe radii and angles, stress concentration factors and weld quality classes. The results show a strong sampling rate dependence and lower ISO 5817:2014 weld quality results for higher sampling rates. Comparable results between short specimens and a long weld can be achieved using modal values of the parameters assuming a lognormal distribution.

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Posted

2021-12-10

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Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.