TOGNAN, ALESSANDRO
TOGNAN, ALESSANDRO
DPIA - DIPARTIMENTO POLITECNICO DI INGEGNERIA E ARCHITETTURA
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Risultati 1 - 8 di 8 (tempo di esecuzione: 0.007 secondi).
A Bayesian defect-based physics-guided neural network model for probabilistic fatigue endurance limit evaluation
2024-01-01 Tognan, A; Patanè, A; Laurenti, L; Salvati, E
A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing
2022-01-01 Salvati, Enrico; Tognan, Alessandro; Laurenti, Luca; Pelegatti, Marco; DE BONA, Francesco
Contour Method with Uncertainty Quantification: A Robust and Optimised Framework via Gaussian Process Regression
2022-01-01 Tognan, A.; Laurenti, L.; Salvati, E.
Evaluation and Origin of Residual Stress in Hybrid Metal and Extrusion Bonding and Comparison with Friction Stir Welding
2022-01-01 Tognan, A.; Sandnes, L.; Totis, G.; Sortino, M.; Berto, F.; Grong, O.; Salvati, E.
On the significance of diffuse crack width self-evolution in the phase-field model for residually stressed brittle materials
2021-01-01 Salvati, E.; Menegatti, F.; Kumar, M.; Pelegatti, M.; Tognan, A.
Probabilistic defect-based modelling of fatigue strength for incomplete datasets assisted by literature data
2023-01-01 Tognan, A.; Salvati, E.
Quantification of uncertainty in a defect-based Physics-Informed Neural Network for fatigue evaluation and insights on influencing factors
2023-01-01 Avoledo, E.; Tognan, A.; Salvati, E.
Supervised Machine Learning Approaches for Structural Integrity: Residual Stress Evaluation and Defect-based Fatigue Modelling
2024-06-09 Tognan, Alessandro