Deep learning accelerated prediction of the permeability of fibrous microstructures B Caglar, G Broggi, MA Ali, L Orgéas, V Michaud Composites Part A: Applied Science and Manufacturing 158, 106973, 2022 | 23 | 2022 |
Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions E Syerko, T Schmidt, D May, C Binetruy, SG Advani, S Lomov, L Silva, ... Composites Part A: Applied Science and Manufacturing 167, 107397, 2023 | 15 | 2023 |
Measurement and modelling of dynamic fluid saturation in carbon reinforcements H Teixidó, G Broggi, B Caglar, V Michaud Composites Part A: Applied Science and Manufacturing 169, 107520, 2023 | 3 | 2023 |
Implementation and parametric study of J-integral data reduction methods for the translaminar toughness of hierarchical thin-ply composites G Broggi, J Cugnoni, V Michaud Engineering Fracture Mechanics 282, 109169, 2023 | 3 | 2023 |
Multi-scale characterization and modeling of notched strength and translaminar fracture in hybrid thin-ply composites based on different carbon fiber grades GC Broggi EPFL, 2023 | 2 | 2023 |
Saturated transverse permeability of unidirectional rovings for pultrusion: The effect of microstructural evolution through compaction O Yuksel, B Caglar, G Broggi, V Michaud, R Akkerman, I Baran Polymer Composites, 2024 | | 2024 |
Transverse permeability of roving-based fibrous media: Influence of resin rich layers O Yuksel, SK Błazucki, GC Broggi, B Caglar ICCM23-International Conference on Composite Materials 2023, 2023 | | 2023 |
Deep learning based prediction of fibrous microstructure permeability B Caglar, GC Broggi, MA Ali, L Orgéas, V Michaud Proceedings of the 20th European Conference on Composite Materials …, 2022 | | 2022 |