Predicting the 3D fatigue crack growth rate of small cracks using multimodal data via Bayesian networks: In-situ experiments and crystal plasticity simulations - Rovinelli, Andrea; Sangid, Michael D.; Proudhon, Henry; Guilhem, Yoann; Lebensohn, Ricardo A.; Ludwig, Wolfgang (Journal of the mechanics and physics of solids, 2018)
Keywords: A small crack propagation; B crystal plasticity; B polycrystalline material; Bayesian analysis; BCC metals; Burgers vector; C nondestructive evaluation; Computer simulation; Crack propagation; Data mining; Deformation; Fatigue cracks; Fatigue failure; Fatigue life; Fracture mechanics; Grain boundaries; High cycle fatigue; Machine learning; Materials fatigue; MATERIALS SCIENCE; Mathematical models; Nondestructive testing; Plastic properties; Polycrystals; Predictions; Slip; Titanium alloys; Titanium base alloys; B polycrystalline material; A small crack propagation; C nondestructive evaluation; B crystal plasticity; Machine learning