The general subject of my research is computation of fluid flow and heat convective transfer using finite volume computations. I'm working with Python finite volume codes (pyCALC-LES, pyCALC-RANS-LES), which have been developed by myself. Turbulence modeling for fluid flow and heat transfer is the focus of my research. A large part of the research is concentrated on Large Eddy Simulations (LES).
Since around 2004, I have focused on hybrid LES/RANS, an approach to make it possible to use LES for wall-bounded flows at high Reynolds numbers. In 2022, I started to work on Machine Learning to improve wall functions and turbulence models.
Below you find some of my publications.
- L. Davidson, "Large Eddy Simulations: how to evaluate resolution", International Journal of Heat and Fluid Flow, Vol. 30(5), pp. 1016-1025,2009.
Link to pdf - L. Davidson, "Hybrid LES-RANS: back scatter from a scale-similarity model used as forcing", Phil. Trans. of the Royal Society A, Vol. 367, Issue 1899, pp. 2905-2915, 2009.
Link to pdf - L. Davidson, "Zonal PANS: evaluation of different treatments of the RANS-LES interface", Journal of Turbulence, Volume 17, Issue 3, pp. 274-307, 2016.
Link to pdf - L. Davidson, "Two-equation hybrid RANS-LES models: A novel way to treat k and omega at inlets and at embedded interfaces", Journal of Turbulence, Volume 18, Issue 4, pp. 291-315, 2017.
Link to pdf - L. Davidson and C. Friess, "A new formulation of fk for the PANS model", Journal of Turbulence, Vol. 20(5), pp. 322-336, 2019.
Link to Taylor & Francis online - C. Friess and L. Davidson, "A formulation of PANS able to mimic IDDES", International Journal of Heat and Fluid Flow, Vol. 86, No. 108666, 2020.
Link to Science Direct - L. Davidson, "pyCALC-LES: A Python Code for DNS, LES and Hybrid LES-RANS", Division of Fluid Dynamics, Dept. of Mechanics and Maritime Sciences, Chalmers University of Technology, Göteborg, 2020.
Link to pdf - L. Davidson and Ch. Friess, "Detached Eddy Simulations: Analysis of a limit on the dissipation term for reducing spectral energy transfer at cut-off", ETMM13: The 13th International ERCOFTAC symposium on engineering, turbulence, modelling, Rhodes, Greece, 15--17 September, 2021.
Link to pdf - L. Davidson, "pyCALC-RANS: A Python Code for Two-Dimensional Turbulent Steady Flow", Division of Fluid Dynamics, Dept. of Mechanics and Maritime Sciences, Chalmers University of Technology, Göteborg, 2021.
Link to publication - L. Davidson, "Non-Zonal Detached Eddy Simulation coupled with a steady RANS solver in the wall region", International Journal of Heat and Fluid Flow, Vol.92, 108880, 2021.
Link to Science Direct - 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 2023a.
Link to pdf - L. Davidson, "Using Neural Network for Improving an Explicit Algebraic Stress Model in 2D Flow",
CUFS 2024, Proceedings of the Cambridge Unsteady Flow Symposium 2024
Editors: J. C. Tyacke and N. R. Vadlamani. Publisher: Springer Nature Switzerland AG (to appear)
Download Python code - L. Davidson, "Hybrid LES/RANS for flows including separation: A new wall function using Machine Learning based on binary search trees", arXiv preprint, arXiv:2410.17767
Get article at publisher
Download Python script and databases
For more info, please visit my personal www-page.
