DDF: Data, damage and fracture
Minisymposium organized by
- O. Allix, ENS Paris-Saclay, France
- P. Carrara, ETH Zurich, Switzerland
Session I, Wednesday, 11:00-12:40, lecture room C223, chaired by P. Carrara
| 11:00-11:20 | O. Allix*, F. Chinesta, F. Hild: Experimental mechanics and fracture: Toward a big data approach? |
| 11:20-11:40 | I. Hamadouche*, D.M. Seyedi, F. Hild: Multiscale and multiview digital image correlation for damage detection and quantification |
| 11:40-12:00 | A. Mishra*, P. Carrara, M. Griffa, L. De Lorenzis: Modeling the cracking behavior of concrete at the mesoscale |
| 12:00-12:20 | S. Mpho Motsaa, G. Stavroulakis, G. Drosopoulos*: Investigation of the response of masonry arches using data-driven structural analysis |
| 12:20-12:40 | A. Quintin*, T. Petit, R. Chocat, C. Mattrand, J.-M. Bourinet: Uncertainty quantification of the reference temperature T0 of reactor pressure vessel steel with experimental and numerical computation of fracture toughness tests |
Session II, Thursday, 11:00-12:40, lecture room C204, chaired by O. Allix
| 11:00-11:20 | J. Yvonnet*, Q.-C. He, P. Li: Data-driven multi-scale modelling of anisotropic fracture-induced damage |
| 11:20-11:40 | P. Carrara*, M. Ortiz, L. De Lorenzis: Model-free data-driven fracture mechanics |
| 11:40-12:00 | E. Baranger*, G. Landron: Approximation and definition of state variables for a comprehensive description of damage |
| 12:00-12:20 | J. Selvaraj*, S.R. Hallett: Adaptive and variable model order reduction for damage modelling using explicit time integration |
| 12:20-12:40 | V. Kamasamudram*, L. Stainier: Lipschitz regularization for data-driven computational damage mechanics |
Session III, Friday, 14:00-15:40, lecture room C221, chaired by E. Baranger
| 14:00-14:20 | M. Manav*, R. Molinaro, S. Mishra, L. De Lorenzis: Phase-field fracture modeling using physics-informed deep learning |
| 14:20-14:40 | A. Harandi*, S. Rezaei, A. Moeineddin, T. Brepols, S. Reese: Phase-field fracture model solved by a mixed formulation for physics-informed neural networks |
| 14:40-15:00 | M. Alves Maia*, N. Kovacs, I.B.C.M. Rocha, F. P. van der Meer: Physically recurrent neural networks for homogenization of path-dependent heterogeneous materials |
| 15:00-15:40 | General discussion (moderated by P. Carrara, O. Allix) |