PSI - Issue 75

Jörg Baumgartner et al. / Procedia Structural Integrity 75 (2025) 120–128 Jo¨rg Baumgartner / Structural Integrity Procedia 00 (2025) 000–000

128

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Acknowledgements

This work is funded by the German Federal Ministry of Economic A ff airs and Climate Action as part of the ORka3D project under the grant FKZ 03EI5019A.

Note

This paper was edited with the assistance of ChatGPT-4o (OpenAI). The tool was used solely for language refine ment; all content and analysis were developed by the authors.

References

[1] GitHub - ch-sa / labelCloud: A lightweight tool for labeling 3D bounding boxes in point clouds. URL https://github.com/ch-sa/labelCloud . [2] ISO 17637: Non-destructive testing of welds – Visual testing of fusion-welded joints, April 2016. [3] prEN 13001-3-1:2022-7: - Cranes - General Design - Part 3-1: Limit States and proof competence of steel structure; German and English version, 2022. [4] DIN EN 1993-1-9:2023-3 - Design of steel structures - Part 1-1: General rules and rules for buildings. Beuth Verlag, March 2023. [5] ISO 5817:2023 Welding - Fusion-welded joints in steel, nickel, titanium and their alloys (beam welding excluded) - Quality levels for imperfections, July2023. [6] DIN EN 1999-1-3:2024-11 - Design of aluminium structures - Part 1-3: Structures susceptible to fatigue, November 2024. [7] Christian Da¨nekas, Jan Schubnell, Johannes Krautheimer, Matthias Jung, Elyas Ghafoori, and Peter Schaumann. Algorithms for determination of weld toe radius and weld toe angle in welded joints. Journal of Constructional Steel Research , 224:109112, jan 2025. ISSN 0143-974X. doi: 10.1016 / J.JCSR.2024.109112. [8] Martin Ester, Hans-Peter Kriegel, Jo¨rg Sander, and Xiaowei Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In KDD-96 Proceedings , pages 223–231, 1996. [9] Martin A Fischler and Robert C Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM , 24(6):381–395, 1981. [10] Jiadong He, Haibo Wang, and Yajun Zhang. Weld quality measurement of T-joints based on three-dimensional scanner. International Journal of Advanced Manufacturing Technology , 133(11-12):6059–6070, aug 2024. ISSN 14333015. doi: 10.1007 / S00170-024-13847-7 / FIGURES / 19. [11] Adolf F. Hobbacher and Manfred Kassner. On relation between fatigue properties of welded joints, quality criteria and groups in ISO 5817. Welding in the World , 56(11–12):153–169, November 2012. ISSN 1878-6669. doi: 10.1007 / BF03321405. [12] Matthias Jung, Moritz Braun, Jan Schubnell, and Heikki Remes. Round robin study on the determination of weld geometry parameters - Part A: analysis of a reference specimen. Welding in the World 2024 , pages 1–8, sep 2024. ISSN 1878-6669. doi: 10.1007 / S40194-024-01829-Y. [13] Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas. PointNet: Deep learning on point sets for 3d classification and segmentation, 2017. [14] Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J. Guibas. PointNet ++ : Deep hierarchical feature learning on point sets in a metric space. Advances in Neural Information Processing Systems , 30, 2017. [15] Finn Renken, Ru¨diger Ulrich Franz von Bock und Polach, Jan Schubnell, Matthias Jung, Markus Oswald, Klemens Rother, So¨ren Ehlers, and Moritz Braun. An algorithm for statistical evaluation of weld toe geometries using laser triangulation. International Journal of Fatigue , 149: 106293, aug 2021. ISSN 0142-1123. doi: 10.1016 / J.IJFATIGUE.2021.106293. [16] Finn Renken, Jan Schubnell, Matthias Jung, · Moritz Braun, and Heikki Remes. Round-robin study on the determination of weld geometry parameters—part B: analysis of welded specimen. Welding in the World 2025 , pages 1–16, apr 2025. ISSN 1878-6669. doi: 10.1007 / S40194-025-02033-2. [17] Christoph Sager, Patrick Zschech, and Niklas Ku¨hl. labelCloud: A lightweight labeling tool for domain-agnostic 3D object detection in point clouds. Computer-Aided Design and Applications , 19(6):1191–1206, 2022. ISSN 16864360. doi: 10.14733 / CADAPS.2022.1191-1206. URL https://github.com/ch-sa/labelCloud . [18] Jan Schubnell, Matthias Jung, Chanh Hieu Le, Majid Farajian, Moritz Braun, So¨ren Ehlers, Wolfgang Fricke, Martin Garcia, Alain Nussbaumer, and Jo¨rg Baumgartner. Influence of the optical measurement technique and evaluation approach on the determination of local weld geometry parameters for di ff erent weld types. Welding in the World , 64(2):301–316, feb 2020. ISSN 18786669. doi: 10.1007 / s40194-019-00830-0. URL https://doi.org/10.1007/s40194-019-00830-0 . [19] M. Workowski, J. Baumgartner, and H. Schmidt. IGF-Projekt Nr. 16-719: Einfluss der Schweißnahtqualita¨t auf die Schwingfestigkeit bei Alu miniumlegierungen. Technical report, TU Braunschweig, Institut fu¨r Fu¨ge- und Schweißtechnik, Fraunhofer-Institut fu¨r Betriebsfestigkeit und Systemzuverla¨ssigkeit LBF, Darmstadt, 2014. [20] Xu Yan. Pointnet Pointnet2 pytorch, 2022. URL https://github.com/yanx27/Pointnet_Pointnet2_pytorch . [21] Kai Zhou, Guoliang Ye, Xiangdong Gao, Kaihong Zhong, Jianwen Guo, and Bing Zhang. Weld Bead Width and Height Measurement Using RANSAC. 4th International Conference on Control and Robotics Engineering, ICCRE 2019 , pages 35–39, apr 2019. doi: 10.1109 / ICCRE. 2019.8724363.