This one day workshop will be the occasion to present all the work that has been achieved within the BIGMECA research initiative, a partnership between MINES Paris and SafranTech. Progress around 4D methods for the mechanics of polycrystals and machine learning assisted mechanics will be the 2 hots topics of the day.
Location: hybrid participation, online and at SafranTech (Rue des jeunes Bois, 78117 Châteaufort)
Organizing committee: David Ryckelynck, Henry Proudhon, Fabien Casenave (SafranTech)
Participation is free of charges but registration is required, please contact bigmeca.chaire@mines-paristech.fr
Schedule (Central European Time)
Each talk will be 25 minutes long with 10 more minutes for discussions. Edit: some of the talks have been recorded, follow the links below each talk to watch the videos.
- 9h00 Henry Proudhon (Mines ParisTech), 4D experiments and simulations: the data challenge to study the mechanics of materials
https://www.youtube.com/watch?v=XyJQUc93CLU - 9h35 Clément Ribart (Mines ParisTech), Coupled X-ray and EBSD multimodal testing to study crystal plasticity in pure titanium
https://www.youtube.com/watch?v=KpQhSOMnuz4 - 10h10 Aldo Marano (ONERA), BigData Platform for image-based digital twins
https://www.youtube.com/watch?v=K0CsuEqD_2k - 10h45 Break
- 11h00 Daria Mesbah (CEA), Laplacian eigenmodes for geometrical variabilities of mechanical specimens
- 11h35 Axel Aublet (SafranTech), Image-based digital twins on Nickel-based Superalloy Fatigue specimens involving geometrical variabilities
- 12h10 Joao Bertoldo (Mines ParisTech), Machine learning for image segmentation applied to composite materials
https://www.youtube.com/watch?v=wUzK22zaRAw
- 12h45 Break
- 14h15 David Ryckelynck (Mines ParisTech), Data assimilation and machine learning in thermomechanical digital twins
https://www.youtube.com/watch?v=tuAX_nMW_40 - 14h50 Thomas Daniel (Dassault), Fabien Casenave (SafranTech) , ROM-net for uncertainty quantification in plasticity
- 15h25 Break
- 15h40 Hamza Boukraichi (SafranTech), GAN for structural submodels in dynamics
- 16h15 Choi, Youngsoo (LLNL), Efficient nonlinear manifold reduced order models with sparse shallow neural networks
https://www.youtube.com/watch?v=HATSGtUQOXU - 16h50 Samantha Daly (UCL Santa Barbara), Damage Mechanism Identification in Composites via Machine Learning and Acoustic Emission
https://www.youtube.com/watch?v=hLqyoCwKgE0 - 17h25 Conclusion of the seminar
