| Impact response of an origami-shaped composite crash box: Experimental analysis and numerical optimization A Ciampaglia, D Fiumarella, CB Niutta, R Ciardiello, G Belingardi Composite Structures 256, 113093, 2021 | 46 | 2021 |
| Data driven method for predicting the effect of process parameters on the fatigue response of additive manufactured AlSi10Mg parts A Ciampaglia, A Tridello, DS Paolino, F Berto International journal of fatigue 170, 107500, 2023 | 24 | 2023 |
| Design and analysis of automotive lightweight materials suspension based on finite element analysis A Ciampaglia, A Santini, G Belingardi Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2021 | 14 | 2021 |
| Multifunctional material design for strain sensing: Carbon black effect on mechanical and electrical properties of polyamides A Ciampaglia, R Ciardiello, F Cesano, G Belingardi, V Brunella Composite Structures 304, 116373, 2023 | 11 | 2023 |
| Artificial Intelligence for damage detection in automotive composite parts: A use case A Ciampaglia, A Mastropietro, A De Gregorio, F Vaccarino, G Belingardi, ... SAE International Journal of Advances and Current Practices in Mobility 3 …, 2021 | 5 | 2021 |
| Assessment of the critical defect in additive manufacturing components through machine learning algorithms A Tridello, A Ciampaglia, F Berto, DS Paolino Applied Sciences 13 (7), 4294, 2023 | 4 | 2023 |
| Experimental and Numerical Investigation of the Mesoscale Size Effect in Notched Woven Composites A Ferrarese, C Boursier Niutta, A Ciampaglia, R Ciardiello, DS Paolino, ... Applied Sciences 13 (7), 4300, 2023 | 2 | 2023 |
| Data-driven method to assess the influence of process parameters on the fatigue response of additively manufactured Ti6Al4V A Ciampaglia, A Tridello, F Berto, D Paolino Procedia Structural Integrity 47, 56-69, 2023 | 2 | 2023 |
| Machine learning methods to predict the fatigue life of selectively laser melted Ti6Al4V components A Centola, A Ciampaglia, A Tridello, DS Paolino Fatigue & Fracture of Engineering Materials & Structures 46 (11), 4350-4370, 2023 | 1 | 2023 |
| Data driven and physics based methods to assess the mechanical response of advanced materials: from experiments to efficient predictions A Ciampaglia Politecnico di Torino, 2023 | | 2023 |
| Physics based data driven method for the crashworthiness design of origami composite tubes A Ciampaglia, D Fiumarella, C Boursier Niutta, R Ciardiello, G Belingardi International Journal of Mechanics and Materials in Design, 1-18, 2023 | | 2023 |
| Data driven statistical method for the multiscale characterization and modelling of fiber reinforced composites A Ciampaglia Composite Structures 320, 117215, 2023 | | 2023 |
| Experimentally trained physic-informed neural network as material model A Ciampaglia, A Ferrarese, DS Paolino, G Belingardi, WK Liu Modeling and Prediction 4, 2022 | | 2022 |
Raffaele CiardielloPolitecnico di TorinoVerified email at polito.it
