Numerical Methods in Aerodynamics Turbulence · PDF fileNumerical Methods in Aerodynamics...

Numerical Methods in AerodynamicsLecture 5: Turbulence modeling

1

Turbulence Modeling

Niels N. SørensenProfessor MSO, Ph.D.

Department of Civil Engineering, Alborg University &Wind Energy Department, Risø National Laboratory

Technical University of Denmark


2

Outline of lecture

Characteristics of turbulenceWhat is the problem of modeling turbulence

Reynolds Averaging and Reynolds stressesRANS Turbulence Models

Boussinesq approximationBoundary Conditions

Log-lawLow Reynolds Number Modifications

Example of RANS comp.Shortcomings of RANS modelsLarge Eddy Simulation models

FilteringHybrid models


3

The Nature of turbulence (I)

IrregularityTurbulence is irregular or random.

DiffusivityTurbulent flows causes rapid mixing, increases heat transfer and flow resistance. This is the single most important aspect of turbulence from a engineering point of view.

Three-dimensional vorticity fluctuations (rotational)Turbulence is rotational, and vorticity dynamics plays an important role. Energy is transferred from large to small scale by the interaction of vortices.


4

The Nature of Turbulence (II)

DissipationTurbulent flows are always dissipative. Viscous shear stresses perform deformation work which increases the internal energy of the fluid at the expense of kinetic energy of turbulence.

ContinuumThe smallest scale of turbulence are ordinary far larger than any molecular length scale

Flow featureTurbulence is a feature of the flow not of the fluid,


5

How Does Turbulence Look

The Onset of Two-Dimensional Grid Generated Turbulence in Flowing Soap Films Maarten A. Rutgers, Xiao-lun Wu, and Walter I. Goldberg


6

Direct Numerical SimulationAll scales of the fluid motion spatial and temporal is resolved by the computation. Largest DNS to date 40963

Modeling Turbulent Flows


7

Large Eddy Simulation (LES)Only the large scales of the fluid motion is resolved by the computations



8


Reynolds Averaged Navier-Stokes (RANS)The equations are time averaged, and don’t resolve the eddies

Hybrid LES/ RANS


9

Derivation of the Reynolds Averaged Navier-Stokes eqns.

1) Introduce the Reynolds Decomposition of the variables

2) Insert the Reynolds Decomposition in the flow equations

3) Perform time averaging


10

Reynolds Averaged Navier-Stokes equations (RANS)

Reynolds Stress


11

Reynolds stresses

Performing the Reynolds Averaging Process, new terms has arisen,namely the Reynolds-stress tensor:

This brings us at the turbulent closure problem, the fact that we have more unknowns than equations.

Three velocities + pressure + six Reynolds-stressesThree momentum equations + the continuity equation

To close the problem, we need additional equations to model the Reynolds-stresses


12

Reynolds Averaged Momentum Equations

The Reynolds Stresses originates from the convective terms

They are normally treated together with the diffusive terms


13

RANS turbulence models

Algebraic turbulence modelsPrandtl Mixing Length ModelCebeci-Smith ModelBaldwin-Lomax Model

One equation turbulence modelsSpalart-AllmarasBaldwin-Barth

Two equation turbulence modelsk-epsilon modelk-omega modelk-tau model

Reynolds stress models


14

Reynolds-stress models

Introduces new unknowns (22 new unknowns)



15

Eddy-viscosity modelsCompute the Reynolds-stresses from explicit expressions of the mean strain rate and a eddy-viscosity, the Boussinesq eddy-viscosity approximation

The k term is a normal stress and is typically treated together with the pressure term.



16

Prandtls mixing length hypothesis is based on an analogy with momentum transport on a molecular level

Algebraic Turbulence Model

yU(y)

Molecular transport

Turbulent transport


17

Prandtl Mixing Length Model

The mixing length model closes the equation system

The proportionality constant for the mixing velocity c1 and for the mixing length c2 needs to be specifiedThe equation for the turbulent eddy viscosity is a part of the flow solutions, as it depends on the mean flow gradientTurbulence is not a fluid property but a property of the flow


18

Additions to the basic mixing length model

• Van Driest (1956) wall damping• Clauser (1956) defect layer modification• Corrsin and Kistler (1954) intermittency modification


19

Baldwin-Lomax Model

Clauser Van Driest

Corrsin and Kistler


20

Algebraic Models

Gives good results for simple flows, flat plate, jets and simple shear layersTypically the algebraic models are fast and robustNeeds to be calibrated for each flow type, they are not very generalThey are not well suited for computing flow separationTypically they need information about boundary layer properties,and are difficult to incorporate in modern flow solvers.


21

One and Two Equation Turbulence Models

The derivation is again based on the Boussinesq approximation

The mixing velocity is determined by the turbulent turbulent kinetic energy

The length scale is determined from another transport equation ex.


22

Second equation


23

The turbulent kinetic energy equation

By taking the trace of the Reynolds Stress equation, we get


24

Dissipation of turbulent kinetic energy

The equation is derived by the following operation on the Navier-Stokes equation

The resulting equation have the following form


25

The k-ε model

Eddy viscosity

Transport equation for turbulent kinetic energy

Transport equation for dissipation of turbulent kinetic energy

Constants for the model


26

k-omega SST model


27

k-omega SST model


28

Blending Function F1 and F2


29

Constants for k-omega SST model


30

Boundary Conditions

Inflow conditionsMean flow velocities, turbulence intensity, length scale

Wall conditionsBridging the near wall region (log-law) (30 < y+ < 100)Resolving the near wall region (y+ < 2)


31

Boundary Conditions, Log-Law

The flow is assumed to be a one-dimensional Couette flow, steady and with zero development in the flow direction, and with constant shear stress in the near wall region.

The momentum equations are not abandoned in the wall cell, instead the viscous stresses at the wall is substituted by the following expression derived from the log law


32


The Couette flow assumption reduces the turbulent kinetic energy equation to a simple balance between production and dissipation.Zero diffusion to the wall is assumed for the turbulent kinetic energy, and the production and dissipation terms are computed from the mean flow assumption, using


33


Using the logarithmic profile and the balance between productionand dissipation the following expression for dissipation can be derived, the dissipation equation is abandoned in the wall cell and the dissipation is fixed to the value given below:


34

Low Reynolds Number Modification

The turbulence equations are derived under high Reynolds Number assumptionsWe need to assure that the equations has the correct near wall behavior, the so called asymptotically consistent behavior


35

Low Reynolds Number Modification

To obtain correct near wall behavior the two equation models areenriched with viscous damping terms


36

The k-ω model do not need any modification to have nearly the correct near wall behavior, and is often used in the default version. The boundary conditions are relatively simple to apply

The model is robust in the low Re version

Low RE k-omega model


37

Typically the inflow turbulence intensity is known:

For aerodynamic applications where the flow is nearly laminar in the farfield we have

For cases with a wall, the eddy viscosity in the inlet region can often be specified by the mixing length hypotesis assuming a velocity profile

Inflow conditions


38

Driver, D. M., "Reynolds Shear Stress Measurements in a Separated Boundary Layer," AIAA Paper 91-1787, 1991.

Performance of Popular Turbulence Models for Attached and Separated Advedrse Pressure Gradient Flows. Menter, F.R. AIAA Journal 1992 vol. 30 no. 8


39

Mild adverse pressure gradient


40



41

Strong adverse pressure gradient


42



43



44



45

Shortcomings of the Boussinesq approximation

Flows with sudden changes in mean strain rate


46


Flows over curved surfacesSo and Mellor, 1972, An Experimental Investigation of

Turbuelnt Boundary Layers Along Curved Surfaces


47


Flow in ducts with secondary motionFlow in rotating and stratified fluidsThree dimensional flowsFlows with boundary-layer separation


48

Filtering of the Navier-Stokes equations, splitting the velocities in the resolvable-scale filtered velocity and the subgrid scale (SGS) velocity

A typical filter used could be the volume-averaged box filter

Large Eddy Simulation


49

LES, Filtering of the Navier-Stokes equations

Again the convective terms generate additional terms

Filtering differs from standard averaging in one important respect


50

The Leonard stresses (Lij) are of the same order as the truncation error when a finite-difference scheme of second-order accuracy is used, and are normally not consideredThe cross-term stress tensor (Cij) are typically modeled together with the Reynolds stresses

The first model for the subgrid scale stresses (SGS) was the model by Smagorinsky (1963) based again on gradient-diffusion process



51


Smagorinsky model


52

LES modeling

LES models are by nature unsteadyLES models are by nature full three dimensionalThey resolve the large scales and only model the isotropic smallscalesThe standard SGS model needs damping of the eddy viscosity near solid wall similar to the van Driest damping used for mixing length models Resolving the anisotropic eddies in the near wall region where the cells are small may require a very fine computational meshLES models can be combined with approximate wall boundary conditions, or even zero, one or two equation models for the near wall region.


53

Hybrid models

Hybrid models are combinations of RANS and LES modelsOne example is zonal models where regions are flagged to use either RANS or DES modelsThe Detached Eddy Simulation technique of Spalart et al. is another example, where the model it self switches from RANS for attachedflow regions to LES in separated flow regions.


54

Deep Stall Aerodynamics

RANS

DES QUICK CDS4


55

What have we learned

The RANS or LES equations are derived by an averaging or filtering process from the Navier-Stokes equations.The ’averaging’ process results in more unknown that equations, the turbulent closure problemAdditional equations are derived by performing operation on the Navier-Stokes equationsNon of the model are complete, all model needs some kind of modelingSpecial care may be need when integrating the model all the way to the wall, low-Reynolds number models and wall damping termsLog-law boundary conditions, can be used to limit the necessary resolution, but are not well suited for separation reattachmentThe LES models are one way to circumvent some of the inherent problems of the RANS models

Numerical Methods in Aerodynamics Turbulence · PDF fileNumerical Methods in Aerodynamics...

Documents

Transcript of Numerical Methods in Aerodynamics Turbulence · PDF fileNumerical Methods in Aerodynamics...