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| Unsteady Simulations: LES, DES, hybrid LES/RANS and Machine Learning | |
| Large Eddy Simulations (LES) is suitable for bluff-body flows or flows at low Reynolds numbers. To extend LES to cover industrial flows at high Reynolds numbers, new approaches (hybrid LES-RANS, DES, URANS, SAS, PANS, PITM) must be used. They are all based on a mix of LES and RANS. The course will give an introduction to LES and these new methods. Day 3, an introduction will be given on how to use Machine Learning for improving underlying RANS turbulence models and wall-functions. | |
| Date: | December 2, 2024 - December 6, 2024 |
| Location: | On-line zoom.us, Sweden |
| Web Page: | https://www.cfd-sweden.se/ |
| Contact Email: | lada@flowsim.se |
| Organizer: | Lars Davidson |
| Application Areas: | Turbomachinery, Aerospace, Power Generation, Environmental, Fuel Cells, Wind Turbines |
| Special Fields: | Turbulence Modeling, Turbulence - LES Methods, Fluid Mechancis, Turbulence - Hybrid RANS-LES Methods |
| Softwares: | Python |
| Type of Event: | Course, International |
| Description: | |
The lectures will be given on-line (Live) using Zoom. During the workshops, the participants will get supervision in a joint Zoom room which will enable participants to learn from each others questions. Part of the supervision may also be given in individual break-out Zoom rooms. Lectures will be given in the mornings; in the afternoons there will be workshops using Python (recommended) , Matlab or Octave. The participants must have a PC/Mac/Desktop with one of these software installed. In the workshops, the participants will use Python/Matlab/Octave for analyzing SGS models, SAS, PANS, DES and DDES. Scripts will be use for generating isotropic and anistropic (non-isotropic) synthetic turbulent fluctuations for inlet boundary conditions and embedded LES. These will be the topics of Day 1 and 2. Day 3 is devoted to Machine Learning. Neural network and KDTRee in Python's Pytorch will be used to inmprove RANS turbulence models and wall functions. The number of participants is limited to 16. The course fee is 14 700 SEK (approx 1 300 Euro). |
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| Event record first posted on August 4, 2024, last modified on August 12, 2024 | |
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