Lecture 40 of 74Week 7
Introduciton to wall-functions - I
Prof. Vagesh D Narasimhamurthy · IIT Madras
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- Turbulence Modeling, IIT Madras (at NPTEL)
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- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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All the lectures
- Introduction to turbulence
- Statistical Analysis: Part - I
- Statistical Analysis: Part - II
- Statistical Analysis Part - III
- Statistical Analysis and Cartesian Tensors
- Cartesian tensors and Navier Stokes equation
- Navier Stokes equation and Reynolds decomposition
- RANS equations I
- RANS equations II
- RANS equations III
- RANS equations IV
- Reynold's stress: governing equations - I
- Reynold's stress: governing equations - II
- Statistical Stationarity and Homogenity in Plane Couttee Flows - I
- Statistical Stationarity and Homogenity in Plane Couttee Flows - II
- Pressure-strain-rate and redistribution of turbulence in flows - I
- Pressure-strain-rate and redistribution of turbulence in flows - II
- Turbulence Kinetic Energy and it’s dissipation rate - I
- Turbulence Kinetic Energy and it’s dissipation rate - II
- Production rate of TKE and Mean TKE - I
- Production rate of TKE and Mean TKE - II
- Turbulent Boundary Layer: Order of Magnitude analysis - I
- Turbulent Boundary Layer: Order of Magnitude analysis - II
- Inner and Outer TBL: Order of magnitude analysis - I
- Inner and Outer TBL: Order of magnitude analysis - II
- Inner layer equation, constant stress layer, and inner velocity scaling - I
- Inner layer equation, constant stress layer, and inner velocity scaling - II
- Reynold's Averaged Navier-Stokes (RANS) models - I
- Reynold's Averaged Navier-Stokes (RANS) models - II
- Different approaches to solve turbulence closure problem - I
- Different approaches to solve turbulence closure problem - II
- Modelling of turbulent kinetic energy (k): production, destruction, and dissipation rate - I
- Modelling of turbulent kinetic energy (k): production, destruction, and dissipation rate - II
- Standard k-ε model and the model constants - I
- Standard k-ε model and the model constants - II
- Standard k-ε model, RNG k-ε model, and Prandlt’s one equation model - I
- Standard k-ε model, RNG k-ε model, and Prandlt’s one equation model - II
- New model k- ε and model constants - I
- New model k- ε and model constants - II
- Introduciton to wall-functions - I
- Introduciton to wall-functions -II
- Introduction to wall-resolved simulations - I
- Introduction to wall-resolved simulations - II
- Damping functions for LRN - I
- Damping functions for LRN - II
- Boundary and Initial conditions for RANS simulations - I
- Boundary and Initial conditions for RANS simulations - II
- Realizability constraints in eddy-viscoscity models - I
- Realizability constraints in eddy-viscoscity models - II
- Correctors for eddy-viscoscity models - I
- Correctors for eddy-viscoscity models - II
- Reynold’s Stress Modelling (RSM): governing equations - I
- Reynold’s Stress Modelling (RSM): governing equations - II
- Dissipation rate and Pressure-Strain rate modelling for RSM - I
- Dissipation rate and Pressure-Strain rate modelling for RSM - II
- Pressure-Strain rate modelling for RSM - I
- Pressure-Strain rate modelling for RSM - II
- Pressure-Strain rate modelling and wall corrections for RSM - I
- Pressure-Strain rate modelling and wall corrections for RSM - II
- Introduction to Eddy Resolved Models - I
- Introduction to Eddy Resolved Models - II
- Introduction to Direct Numerical Simulations (DNS) - I
- Introduction to Direct Numerical Simulations (DNS) - II
- Introduction to Large Eddy Simulations (LES) Filtering operation and SGS stresses - I
- Introduction to Large Eddy Simulations (LES) Filtering operation and SGS stresses - II
- Large Eddy Simulations: Filtered Navier-Stokes Equations - I
- Large Eddy Simulations: Filtered Navier-Stokes Equations - II
- Large Eddy Simulations: Filters and its types - I
- Large Eddy Simulations: Filters and its types - II
- Large Eddy Simulations: Smagorinsky model - I
- Large Eddy Simulations: Smagorinsky model - II
- LES: Dynamic Smagorinsky model and Scale similarity models - I
- LES: Dynamic Smagorinsky model and Scale similarity models - II
- Numerics in LES and Hybrid models