Large Eddy Simulation (LES), hybrid LES-RANS, Detached Eddy Simulation (DES) and unsteady RANS

• Agenda 1, 3, 5 December 2025
• Papers by Davidson (zip file)
• Papers by Davidson (Chalmers www page)
• eBook
• Slides of the recorded lectures (is preferable shown in night mode/inverted colors)
• Print-out of slides of the recorded lectures (is preferable shown in night mode/inverted colors)

• Assignment 2a: Zonal Zonal PANS, DES, DDES and SAS
• Assignment 2b: Recirculating flow: PANS, DES, DDES and SAS
• Additonal assignments
• Assignment 1b: Machine Learning
• Assignment EARSM: Machine Learning

• Slides on ML: EARSM (link to Python scripts at last slides)
• Slides on ML: wall functions with kdtree (link to Python scripts at last slides)
• Slides on ML: wall functions with NN (link to Python scripts at last slides)
• Slides on ML: Using Machine Learning for formulating new wall functions for Detached Eddy Simulation (presented at ETMM14)
• Slides on ML: "Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a k-omega Turbulence Model. Presented at ETMM15. (link to Python scripts at last slides)
• Slides on ML: slides Neural Network for computing damping functions in a k-eps Turbulence Model

• Recorded lectures (Screencasts)
  • Lecture 0, introduction
  • Lecture 1, exact eqns boussinesq
  • Lecture 2, k-eps-and-slow-pressure-strain
  • Lecture 3, rapid-pressure modelled RSM buoyancy flow
  • Lecture 4, streamline-curvature stagnation flow non-linear k-eps
  • Lecture 5, V2F and SST models
  • Lecture 6, turbulence spectra cascade process kolmogorov scales 5/3-range
  • Lecture 7, LES, Smagorinsy model, one-eq k_sgs model
  • Lecture 8, The Dynamic Smagorinsky model
  • Lecture 9, Scale-similarity models, resolution, integral length and time scales. URANS, DES
  • Lecture 10, DDES, one-equation k model and SAS
  • Lecture 11, PANS
  • Lecture 12, Synthetic inlet turbulent fluctuations

• Python CFD codes
  • pyCALC-RANS
  • pyCALC-LES
  
  
  
  
• L. Davidson, 'An introduction to turbulence models' (Chapters 3 and 4 are relevant for this course)
• L. Davidson, 'Transport Equations in Incompressible URANS and LES'
  
• Matlab commands in Python
• CFD-online: an online center for Computational Fluid Dynamics)