PSI - Issue 75

Carl-Fredrik Lind et al. / Procedia Structural Integrity 75 (2025) 519–529 Carl-Fredrik Lind et al./ Structural Integrity Procedia (2025)

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Ghanadi, M., Kumar, M., Danielsson, P. O., Hultgren, G., & Barsoum, Z. (2024). Unsupervised machine learning for local stress identification in fatigue analysis of welded joints. Welding in the World , 69 (1), 213–226. https://doi.org/10.1007/S40194-024-01868-5/FIGURES/16 Hobbacher, A. F., & Baumgartner, J. (2024). Recommendations for Fatigue Design of Welded Joints and Components . https://doi.org/10.1007/978-3-031-57667-6 Kalayci, C. B., Karagoz, S., & Karakas, Ö. (2020). Soft computing methods for fatigue life estimation: A review of the current state and future trends. Fatigue and Fracture of Engineering Materials and Structures , 43 (12), 2763–2785. https://doi.org/10.1111/FFE.13343;SUBPAGE:STRING:FULL Liu, W., Chen, B., Zhou, C., Li, W., & Yu, H. (2024). Master S-N curve method to fatigue damage assessment of the high-ply cutter body. Scientific Reports , 14 (1), 1–12. https://doi.org/10.1038/S41598-024-82716 W;SUBJMETA=166,639,705,988;KWRD=MATHEMATICS+AND+COMPUTING,MECHANICAL+ ENGINEERING MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations . Nasiri, S., & Khosravani, M. R. (2022). Applications of data-driven approaches in prediction of fatigue and fracture. Materials Today Communications , 33 , 104437. https://doi.org/10.1016/J.MTCOMM.2022.104437 Radaj, D., Lazzarin, P., & Berto, F. (2013). Generalised Neuber concept of fictitious notch rounding. International Journal of Fatigue , 51 , 105–115. https://doi.org/10.1016/J.IJFATIGUE.2013.01.005 Rohani Raftar, H., Ghanadi, M., Hultgren, G., Ahola, A., Barsoum, Z., & Björk, T. (2024). Assessing local stresses in scanned fillet weld geometry using bagged decision trees. Journal of Constructional Steel Research , 218 , 108745. https://doi.org/10.1016/J.JCSR.2024.108745 Wang, H., Zhang, W., Sun, F., & Zhang, W. (2017). A Comparison Study of Machine Learning Based Algorithms for Fatigue Crack Growth Calculation. Materials 2017, Vol. 10, Page 543 , 10 (5), 543. https://doi.org/10.3390/MA10050543 Yaghoubshahi, M., Alinia, M. M., & Milani, A. S. (2017). Master S-N curve approach to fatigue prediction of breathing web panels. Journal of Constructional Steel Research , 128 , 789–799. https://doi.org/10.1016/J.JCSR.2016.10.015

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