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Udemy - Introduction to RANS Turbulence Modeling in OpenFOAM

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Udemy - Introduction to RANS Turbulence Modeling in OpenFOAM (Size: 1.3 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  README.md 819.2 B
  a.foam 0 B
  constant
  k_omega
  0
  U 1.3 KB
  constant
  system
  PDRblockMeshDict 1.2 KB
  blockMeshDict 4.2 KB
  controlDict 1.2 KB
  decomposeParDict 921.6 B
  fvSchemes 1.4 KB
  fvSolution 1.4 KB
  plot 3.1 KB
  system
  7 - Reynolds Stress Model LRR Model
  12. Understanding the Drawback of Eddy Viscosity Based Models.mp4 25.4 MB
  13. SImulating using LRR Model.mp4 137.7 MB
  lrr
  0
  R 1.3 MB
  U 1.3 KB
  epsilon 1.3 KB
  k 1.3 KB
  nut 1.3 KB
  p 1.2 KB
  PDRblockMeshDict 1.2 KB
  blockMeshDict 4.2 KB
  controlDict 1.4 KB
  decomposeParDict 921.6 B
  fvSchemes 1.4 KB
  fvSolution 1.4 KB
  pressureCoefficient 204.8 B
  sample 1.2 KB
  sampleCp 204.8 B
  stressComponents 102.4 B
  transportProperties 921.6 B
  turbulenceProperties 921.6 B
  k 1.3 KB
  nut 1.3 KB
  omega 1.3 KB
  p 1.2 KB
  system
  PDRblockMeshDict 1.2 KB
  blockMeshDict 4.2 KB
  controlDict 1.2 KB
  decomposeParDict 921.6 B
  fvSchemes 1.5 KB
  fvSolution 1.5 KB
  transportProperties 921.6 B
  turbulenceProperties 921.6 B
  ~Get Your Files Here !
  1 - Introduction to Reynolds Averaging
  1. Derivation of the Reynolds Averaged Navier–Stokes (RANS) Equations.mp4 44.5 MB
  2 - Model Construction Introduction to blockMesh
  3 - Zero Equation Model
  4 - One Equation Model
  6. Theory behind One Equation Model.mp4 23 MB
  7. Using Spallart Allmaras Model in OpenFOAM.mp4 196.4 MB
  sa
  0
  U 1.3 KB
  constant
  system
  5 - Two Equation Model
  8. Simplest Two Equation Model.mp4 57.9 MB
  9. Using k epsilon Model for BFS.mp4 104.9 MB
  k_eps
  0
  U 1.3 KB
  constant
  system
  6 - K Omega SST Blended Model
  10. Understanding k omega and k omega SST.mp4 65.9 MB
  11. k omega and k omega SST in OpenFOAM.mp4 107 MB
  k_omega
  0
  U 1.3 KB
  constant
  system
  PDRblockMeshDict 1.2 KB
  blockMeshDict 4.2 KB
  controlDict 1.2 KB
  decomposeParDict 921.6 B
  fvSchemes 1.4 KB
  fvSolution 1.4 KB
  k_omega_sst
  0.orig
  U 1.3 KB
  epsilon 1.3 KB
  k 1.3 KB
  nuTilda 1.3 KB
  nut 1.4 KB
  p 1.3 KB
  0
  U 1.3 KB
  k 1.3 KB
  nut 1.3 KB
  omega 1.3 KB
  p 1.2 KB
  transportProperties 921.6 B
  turbulenceProperties 921.6 B
  k 1.3 KB
  omega 1.3 KB
  p 1.2 KB
  PDRblockMeshDict 1.2 KB
  blockMeshDict 4.2 KB
  controlDict 1.2 KB
  decomposeParDict 921.6 B
  fvSchemes 1.4 KB
  fvSolution 1.4 KB
  transportProperties 921.6 B
  turbulenceProperties 921.6 B
  epsilon 1.3 KB
  k 1.3 KB
  nut 1.3 KB
  p 1.2 KB
  PDRblockMeshDict 1.2 KB
  blockMeshDict 4.2 KB
  controlDict 1.2 KB
  decomposeParDict 921.6 B
  fvSchemes 1.4 KB
  fvSolution 1.4 KB
  transportProperties 921.6 B
  turbulenceProperties 921.6 B
  nuTilda 1.3 KB
  nut 1.3 KB
  p 1.2 KB
  5. Understanding Zero Equation Model.mp4 17.3 MB
  3. Setting Backward Facing Step Using gmsh.mp4 292.7 MB
  4. Setting up Backward Facing Step using BlockMesh.mp4 251.8 MB
  bfs.geo 1.8 KB
  2. The Boussinesq Hypothesis and Turbulence Closure Models.mp4 26.9 MB

Description


Introduction to RANS Turbulence Modeling in OpenFOAM

https://WebToolTip.com

Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 54m | Size: 1.32 GB

Eddy-Viscosity Models and the Backward-Facing Step

What you'll learn
Describe the Reynolds-Averaged Navier–Stokes equations, the concept of Reynolds stresses, and the need for turbulence modeling.
Explain the Boussinesq hypothesis and how eddy-viscosity–based models close the RANS equations.
Compare Spalart–Allmaras, standard k–ε, RNG k–ε, k–ω, and SST k–ω models in terms of assumptions, strengths, and limitations.
Justify the choice of a RANS model for separated flows such as the backward-facing step.
Configure mesh, boundary conditions, turbulence properties, and solver settings for incompressible RANS simulations.
Use ParaView to extract and interpret velocity, pressure, and turbulent viscosity fields.
Describe the key ideas behind the LRR Reynolds Stress Model (RSM) and explain how it overcomes limitations of eddy-viscosity–based RANS models.

Requirements
Ability to install and run OpenFOAM on a local machine (Linux or Docker-based setup)
Basic understanding of the Navier–Stokes equations and fundamental fluid mechanics concepts
Familiarity with CFD terminology such as velocity, pressure, boundary conditions, and meshes
Elementary knowledge of numerical methods and discretization (helpful but not mandatory)
Willingness to use the Linux command line for running simulations and post-processing
Comfortable using Ubuntu Linux for nstrations; Windows and macOS users can follow along using Docker or WSL.

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