Comparison of machine learning and stress concentration factors‐based fatigue failure prediction in small‐scale butt‐welded joints

Author:

Braun Moritz1ORCID,Kellner Leon1

Affiliation:

1. Institute of Ship Structural Design and Analysis Hamburg University of Technology Hamburg Germany

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fatigue life analysis based on the groove angle reduction in the butt welding of excavator booms;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2024-01-16

2. Advances in Machine Learning Techniques Used in Fatigue Life Prediction of Welded Structures;Applied Sciences;2023-12-31

3. Very high‐cycle fatigue life prediction of high‐strength steel based on machine learning;Fatigue & Fracture of Engineering Materials & Structures;2023-12-18

4. Approach for the probabilistic fatigue assessment of welded joints based on the local geometry of the weld seam;Fatigue & Fracture of Engineering Materials & Structures;2023-10-13

5. Fatigue testing and analysis of steel plates manufactured by wire-arc directed energy deposition;Additive Manufacturing;2023-07

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