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
Non-destructive testing (NDT) for quality assurance or in-service inspection is often very time consuming. NLR recently invested in a laser based system that can be used for generation or detection of ultrasonic guided waves. The use