Master thesis: Physics-informed machine learning for variable amplitude loading in fatigue crack growth

Physics-informed machine learning for variable amplitude loading in fatigue crack growth Marknesse Master Thesis Background Fatigue in metallic structures is still considered a major threat to the continuing airworthiness of aircraft. Existing models to predict the fatigue life of aircraft structural components under variable loading conditions have limitations due to a limited understanding of the interaction between load cycles. Current maintenance programmes are therefore conservative to account for the limitations in predictions.…