Vorhersage des Ermüdungsfestigkeitsverhaltens von Stumpfstößen mittels Explainable Artificial Intelligence

Butt joints are one of the most common welded joints in welded structures. It is well known that the fatigue behavior of such joints depends on many factors such as loading conditions, local weld geometry, etc., which often interact with each other; however these are difficult to quantify due to the statistical nature of the variables. Machine leaming algorithms can capture and interpret influential factors and their interactions For this purpose, the SHAPley Additive e Xplanations (SHAP) framework was used to explain the predictions. Additionally. anomaly detection methods were used to improve the robustness of the predictions.

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DDC Class

600: Technology