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* '''Sub-project 1: Explore hybrid RANS/LES strategies (T. Berthelon, G. Balarac)''' | * '''Sub-project 1: Explore hybrid RANS/LES strategies (T. Berthelon, G. Balarac)''' |
Revision as of 02:12, 3 February 2023
Contents
Description
- Event from 23th of January to 3rd of February 2023
- Location: Hôtel Club de la Plage, Merville-Franceville, near Caen (14)
- Two types of sessions:
- common technical presentations: roadmaps, specific points
- mini-workshops. Potential workshops are listed below
- Free of charge
- More than 60 participants from academics, HPC center/experts and industry.
- Objectives
- Bring together experts in high-performance computing, applied mathematics and multi-physics CFDs
- Identify the technological barriers of exaflopic CFD via numerical experiments
- Identify industrial needs and challenges in high-performance computing
- Propose action plans to add to the development roadmaps of the CFD codes
Agenda
To come soon...
Thematics / Mini-workshops
These mini-workshops may change and cover more or less topics. This page will be adapted according to your feedback.
Projects
Hackathon - G. Staffelbach, CERFACS & P. Begou, LEGI
Mesh adaptation - R. Letournel, Safran & V. Moureau, CORIA
Numerics - S. Mendez, IMAG & A. Pushkarev, GE Hydro
Turbulence - P. Benard, CORIA & G. Balarac, LEGI
- Sub-project 1: Explore hybrid RANS/LES strategies (T. Berthelon, G. Balarac)
For complex industrial applications, LES can still lead to a too long restitution time. In other hand, statistical approaches can lead too a lack of accuracy. In this project, the potentiality of hybrid approaches combining both have been explored. Conventional hybrid RA?S/LES approaches consider a unique solution field, with an unique transport equation and a clusre terme modeled using RANS or LES models depending of the regions. The main idea is to evaluate a strategy based on a separation between mean fields and fluctuations with distinct coupled transport equations. First elements of validation using YALES2 code are shown that it was possible to correct the prediction of a RANS models, by performing LES of the fluctuations. Next steps should be to consider disctinct meshes, or even computational domains for RANS and LES with this strategy.
- Sub-project 2: Flow Instabilities over Rotating curved Surfaces (S. Sawaf, M. Shadloo, A. Hadjadj, S. Moreau, S. Poncet)
- Sub-project 3: Automatic statistical convergence metric (C. Papagiannis, G. Balarac, O. Le Maitre, P. Congedo)
- Sub-project 4: Wall law for Immersed Boundaries & Rough surfaces (M. Cailler, A. Cuffaro, P. Benez, S. Meynet)