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Alessandro Tognan
Alessandro Tognan
PhD Student, University of Udine
在 spes.uniud.it 的电子邮件经过验证 - 首页
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A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing
E Salvati, A Tognan, L Laurenti, M Pelegatti, F De Bona
Materials & Design 222, 111089, 2022
662022
Probabilistic defect-based modelling of fatigue strength for incomplete datasets assisted by literature data
A Tognan, E Salvati
International Journal of Fatigue 173, 107665, 2023
102023
Evaluation and origin of residual stress in hybrid metal and extrusion bonding and comparison with friction stir welding
A Tognan, L Sandnes, G Totis, M Sortino, F Berto, Ø Grong, E Salvati
International Journal of Mechanical Sciences 218, 107089, 2022
102022
A Bayesian defect-based physics-guided neural network model for probabilistic fatigue endurance limit evaluation
A Tognan, A Patanè, L Laurenti, E Salvati
Computer Methods in Applied Mechanics and Engineering 418, 116521, 2024
92024
Contour method with uncertainty quantification: a robust and optimised framework via gaussian process regression
A Tognan, L Laurenti, E Salvati
Experimental Mechanics 62 (8), 1305-1317, 2022
82022
Quantification of uncertainty in a defect-based Physics-Informed Neural Network for fatigue evaluation and insights on influencing factors
E Avoledo, A Tognan, E Salvati
Engineering Fracture Mechanics 292, 109595, 2023
62023
On the significance of diffuse crack width self‐evolution in the phase‐field model for residually stressed brittle materials
E Salvati, F Menegatti, M Kumar, M Pelegatti, A Tognan
Material Design & Processing Communications 3 (5), e261, 2021
32021
Supervised Machine Learning Approaches for Structural Integrity: Residual Stress Evaluation and Defect-based Fatigue Modelling
A Tognan
Università degli Studi di Udine, 2024
2024
B-FADE: Bayesian-FAtigue moDel Estimator in Python and its Application to the Probabilistic Estimation of El Haddad Curves
A Tognan, E Salvati
2024
Contour Method Residual Stress Uncertainty Evaluation and Sensitivity Analysis: a Friction Stir Welded Plate Case-Study
A Tognan, E Salvati
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