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Modeling Reynolds Averaged Navier Stokes Equations and Finite Volume Method in CFD

Learn how to model Reynolds Averaged Navier Stokes equations and apply the Finite Volume Method in Computational Fluid Dynamics (CFD). Understand the concepts of turbulence modeling, eddy viscosity models, and two-equation turbulent models.

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Modeling Reynolds Averaged Navier Stokes Equations and Finite Volume Method in CFD

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  1. Objective • Define Reynolds Navier Stokes Equations (RANS) • Start with Numerics

  2. From the last classAveraging Navier Stokes equations Substitute into Navier Stokes equations Instantaneous velocity fluctuation around average velocity Average velocity Continuity equation: time 0 0 0 Average whole equation: Average Average of fluctuation = 0 Average of average = average

  3. From the last classExample: of Time Averaging Write continuity equations in a short format: =0 continuity Short format of continuity equation in x direction:

  4. Averaging of Momentum Equation averaging 0

  5. Time Averaged Momentum Equation Instantaneous velocity Average velocities Reynolds stresses For y and z direction: Total nine

  6. Time Averaged Continuity Equation Instantaneous velocities Averaged velocities Time Averaged Energy Equation Instantaneous temperatures and velocities Averaged temperatures and velocities

  7. Reynolds Averaged Navier Stokes equations Reynolds stresses total 9 - 6 are unknown same Total 4 equations and 4 + 6 = 10 unknowns We need to model the Reynolds stresses !

  8. Modeling of Turbulent Viscosity Fluid property – often called laminar viscosity Flow property – turbulent viscosity MVM: Mean velocity models TKEM: Turbulent kinetic energy equation models Additional models: LES: Large Eddy simulation models RSM: Reynolds stress models

  9. Modeling of Reynolds stressesEddy viscosity models(incompressible flow) Average velocity Boussinesq eddy-viscosity approximation Is proportional to deformation Coefficient of proportionality k = kinetic energy of turbulence Substitute into Reynolds Averaged equations

  10. Reynolds Averaged Navier Stokes equations Continuity: 1) Momentum: 2) 3) 4) Similar is for STy and STx 4 equations 5 unknowns → We need to model

  11. One equation models: Prandtl Mixing-Length Model (1926) Vx y x l Characteristic length (in practical applications: distance to the closest surface) -Two dimensional model -Mathematically simple -Computationally stable -Do not work for many flow types There are many modifications of Mixing-Length Model: - Indoor zero equation model: t = 0.03874  V l Distance to the closest surface Air velocity

  12. Kinetic energy and dissipation of energy Kolmogorov scale Eddy breakup and decay to smaller length scales where dissipation appear

  13. Two equation turbulent model model Energy dissipation Kinetic energy From dimensional analysis constant We need to model Two additional equations: kinetic energy dissipation

  14. Reynolds Averaged Navier Stokes equations Continuity: 1) Momentum: 2) 3) 4) General format:

  15. General CFD Equation Values of , ,eff and S

  16. - Conservation of ffor the finite volume Divide the whole computation domain into sub-domains Finite Volume Method One dimension: n h P E W dx dx w e s Dx w e l - Finite volume is a fixed space in the flow domain with imaginary boundaries that allow the fluid to flow in and out. - Integral conservation of the quantities such as mass, momentum and energy. f

  17. General Transport Equation -3D problem steady-state H N W E P S L Equation for node P in the algebraic format:

  18. 1-D example of discretization of general transport equation dxw dxe P Steady state 1dimension (x): E W Dx e w Point W and E represent the cell center of the west and east neighbors of cell P and w, e the neighboring surfaces. Integrating with Gaussian theorem on this control volume gives: To obtain the equations for the value at point P, assumptions are used to convert the surface values to the center values.

  19. 1-D example of discretization of general transport equation dxw dxe P Steady state 1dimension (x): E W Dx e w Point W and E represent the cell center of the west and east neighbors of cell P and w, e the neighboring surfaces. Integrating with Gaussian theorem on this control volume gives: To obtain the equations for the value at point P, assumptions are used to convert the surface values to the center values.

  20. Convection term dxw dxe P E W Dx e w – Central difference scheme: - Upwind-scheme: and and

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