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
Drive smarter inventory decisions at the heart of our global supply chain. Join us in strengthening how we manage inventory across BDR Thermea Group. In this role, you will shape global inventory optimisation – balancing service,