Beyond Conventions: Evaluating Ensemble Learning Methods for Precise Fatigue Life Estimation
Sasan Farhadi,
Samuele Tatullo,
Francesco Ferrian
Abstract:Efficient prediction of fatigue life in structural components is crucial for ensur- ing their integrity and reliability, especially considering the dominant occurrence of fatigue failure in metallic structures within the industrial sectors. Conven- tional fatigue assessment methods, although theoretically established, are often time-consuming and exhibit limitations due to the intricate nature of the fatigue mechanism. Machine learning models have demonstrated significant potential for enhancing the efficiency… Show more
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