| 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 | 77 | 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 | 49 | 2023 |
| 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 | 23 | 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 | 15 | 2021 |
| 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 | 12 | 2023 |
| 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 | 12 | 2023 |
| Data driven statistical method for the multiscale characterization and modelling of fiber reinforced composites A Ciampaglia Composite Structures 320, 117215, 2023 | 10 | 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 | 6 | 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 20 (3), 445-462, 2024 | 5 | 2024 |
| 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 |
| Design of a Lightweight Origami Composite Crash Box: Experimental and Numerical Study on the Absorbed Energy in Frontal Impacts A Ciampaglia, L Patruno, R Ciardiello Journal of Composites Science 8 (6), 224, 2024 | 4 | 2024 |
| Review on machine learning techniques for the assessment of the fatigue response of additively manufactured metal parts A Centola, A Tridello, A Ciampaglia, F Berto, DS Paolino Fatigue & Fracture of Engineering Materials & Structures 47 (8), 2700-2729, 2024 | 3 | 2024 |
| 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 | 3 | 2023 |
| A statistical mesoscale approach to model the size effect on the tensile strength of notched woven composites A Ferrarese, C Boursier Niutta, A Ciampaglia, DS Paolino Applied Sciences 14 (8), 3467, 2024 | 2 | 2024 |
| Adaptive sampling-based surrogate modeling for composite performance prediction S Mojumder, A Ciampaglia Computational Materials Science 250, 113667, 2025 | | 2025 |
| Uncertainty quantification and propagation for multiscale materials systems with agglomeration and structural anomalies Y Comlek, S Mojumder, A van Beek, P Prabhune, A Ciampaglia, ... Computer Methods in Applied Mechanics and Engineering 435, 117531, 2025 | | 2025 |
| Probabilistic Machine Learning for preventing fatigue failures in Additively Manufactured SS316L A Centola, A Ciampaglia, DS Paolino, A Tridello Engineering Failure Analysis 168, 109081, 2025 | | 2025 |
| Experimental study on the electrical conductivity and strain sensitivity of fibre-reinforced thermoplastic for structural health monitoring A Ciampaglia, S Roccia, R Ciardiello Composite Structures 353, 118729, 2025 | | 2025 |
| 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 |
| Experimentally trained physic-informed neural network as material model A Ciampaglia, A Ferrarese, DS Paolino, G Belingardi, WK Liu Modeling and Prediction 4, 822-830, 2022 | | 2022 |
Raffaele CiardielloPolitecnico di TorinoEmail yang diverifikasi di polito.it
