SLIDES

  1. Hybrid LES-RANS and SAS
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  2. Large Eddy Simulation, Helsinki 2012
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  3. Inlet Boundary Conditions
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  4. How to estimate resolution, Pisa 2009
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  5. Embedded LES using PANS, Hawaii 2011
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  6. Embedded LES using PANS (CDS)
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  7. Zonal LES-RANS using PANS, ETMM9, Thessaloniki 2012
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  8. Boundary layer flow and backstep Flow using PANS, Turbulence, Heat and Mass Transfer 7, Palermo 2012
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  9. Backscatter from a scale-similarity model: embedded LES of channel flow, developing boundary layer flow and backstep flow, TSFP8, Poitiers, 2013
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  10. A new approach to treat the RANS-LES interface in PANS, ETMM10, Marbella, 2014
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  11. Backscatter from a scale-similarity model: embedded LES of channel flow, developing boundary layer flow and backstep flow, TSFP8, Poitiers, 2013
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  12. Two-equation hybrid RANS-LES Models: A novel way to treat k and omega at the inlet THMT-15, Sarajevo, 2015
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  13. Inlet boundary conditions for two-equation hybrid LES-RANS models, Go4Hybrid, Final workshop, Berlin, 2015
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  14. S-ZDES: Zonal Detached Eddy Simulation coupled with steady RANS in the wall region. HRLM7, The 7th Symposium on Hybrid RANS-LES Methods, Berlin, Germany, September 17-19, 2018.
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  15. How to carry out fundamental research together with industry. Energirelaterad fordonsforskning (Energy related research for Vehicles) 2019, Gothenburg, Sweden, April 1-2, 2019.
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  16. Large Eddy Simulations in Industry. Volvo CFD Workshop 2019, Gothenburg, Sweden.
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  17. Presentation of "Detached Eddy Simulations: Analysis of a limit on the dissipation term for reducing spectral energy transfer at cut-off"" at ETMM13

  18. Presentation of "Detached Eddy Simulation coupled with steady RANS in the wall region" at ETMM13.

  19. Using Machine Learning for formulating new wall functions for Large Eddy Simulation: A Second Attempt Workshop on Hybrid RANS-LES, FSI and aeroacoustics, Saab Aeronautics, Link\"oping, 6 December, 2022.
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  20. Presentation of "Using Machine Learning for turbulence modeling and formulating new wall-functions"

    at ENFHT, 2024, London and CUSF 2024, Cambridge Unsteady Flow Symposium 2024.
    The presentation includes three parts:
    • L. Davidson
      "Using Machine Learning for formulating new wall functions for Detached Eddy Simulation", ERCOFTAC symposium on Engineering, Turbulence, Modelling and Measurements (ETMM14), in Mini-Symposium: Machine learning for turbulence, Barcelona, Spain 6th - 8th September 2023
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    • L. Davidson
      "Using Neural Network for Improving an Explicit Algebraic Stress Model in 2D Flow", CUSF 2024, Proceedings of the Cambridge Unsteady Flow Symposium", Springer Nature Switzerland AG, Editors: J. C. Tyacke and N. R. Vadlamani, 2024 (to appear)

    • Applying the new ML wall function to diffuser flow