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

• Agenda
• 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
• Assignment: Large Eddy Simulations, Re=1000 (optional)
• Additonal assignments
• Assignment 1b: Machine Learning
• Assignment EARSM: Machine Learning

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

• Recorded lectures (Screencasts) which cover what I will present in Day 1 and 2
  • Lecture 7, LES, Smagorinsky 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
  • other lectures
    • 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
  
  
  • Python CFD codes
    • pyCALC-RANS
    • pyCALC-LES
    • RANS0-WF.py
    • RANS0.py
    
    
    
    
  • 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'
    
  • CFD-online: an online center for Computational Fluid Dynamics)
  
  
  
  
  
  
  
  
  CFD Sweden course home page
  Chalmers course home page