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turbulence modelling - The Reynolds equations are part of the Navier-Stokes equations for turbulent flows. These equations are useful in the predictions of time-averaged (mean) quantities when the flow is turbulent
Typology: Lecture notes
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and Turbulent Flows
Predictions of turbulent flows
What flow parameters or quantities do we want to predict?
a) Integral parameters: θ , δ
, H, etc.
▬▬▬► Integral equations
b) Transition or flow separation points
▬▬▬► Integral equations or turbulence models,
depending on the required accuracy
c) Pressure distribution over lifting bodies (drag and lift)
▬▬▬► Potential (ideal) flow equations
d) Time averaged quantities: U , u',uvetc.
▬▬▬► Turbulence models
e) Instantaneous values: u, v, w, p, etc. and turbulence structure
▬▬▬► Direct numerical simulation (DNS) or
Large eddy simulation (LES)
f) Other models include pdf and hybrid models****.
There are other considerations in choosing the computational method,
including:
Cost of computation
Range of applicability
Accuracy of the result
and Turbulent Flows
Solving the Navier-Stokes equations
In order to solve the Navier-Stokes equations directly, one must resolve the
smallest eddies of turbulence η. As we discussed previously that the ratio of η to
the energy-containing eddy size l is given by
4 −^3 = Rl l
η
For example, for flows with the Reynolds number Rl = 10
6 , η /l ≈ 3.2 x 10
indicates that we need to have extremely fine computational meshes to resolve the
Kolmogorov microscale of turbulence.
A similar argument also holds for the time step of computation since we need to
resolve the time scale of velocity variation across the Kolmogorov microscale.
The time required to perform DNS simulation is estimated as.
3 Tg ∝R l
estimated time with giga-flop computers IBM Blue Gene
NEC Earth Simulator
and Turbulent Flows
The Reynolds equations
The Reynolds equations are part of the Navier-Stokes equations for turbulent
flows. These equations are useful in the predictions of time-averaged (mean)
quantities when the flow is turbulent.
A typical physical quantity in turbulent flow shows fluctuations with time.
For example, the velocity can be expressed as
forthelaminarflowsince 0
lim
U =U u =
U(t)dt T
U=U+u, U =
T
T (^0)
→∞
The Reynolds equations can be obtained by substituting
U =U+u V=V+v W=W+w P=P+ p
in the Navier-Stokes equations, and take time average over the entire expression:
and Turbulent Flows
Therefore,
x
x
z
w
y
v
x
u
uw
y
uv
x
u
z
y
x
t
z
y
x
t
2 2
2
ν ρ
ν ρ
0
Applying similar techniques in the rest of the equations, we have the Reynolds
equations.
z
w
y
vw
x
uw
z
y
x
z
z
y
x
t
z
vw
y
v
x
uv
z
y
x
y
z
y
x
t
z
uw
y
uv
x
u
z
y
x
x
z
y
x
t
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
ν ρ
ν ρ
ν ρ
Reynolds Streesses
and Turbulent Flows
Taking a time average over the instantaneous Continuity equation
z
W w
y
V v
x
U u
∂
the Continuity equation for mean velocities is obtained as
z
y
x
Also, the Continuity equation for fluctuating velocities is given by
z
w
y
v
x
u
∂
To explain the Reynolds-stress terms we take a simple example (see below).
In the laminar flows, the shear stress is given by y
u l = ∂
stresses are also produced by turbulent mixing. Since the mass flow rate of fluid
blob with component velocity fluctuations u and -v is - ρ v per unit area, the
momentum that this blob carries in the vertical direction is – ρ uv per unit area per
unit time. Therefore, the turbulent stress (averaged over a long time) is
and Turbulent Flows
This situation has been caused as we lost information on turbulence during the
process of time averaging. The original Navier-Stokes equations contain all the
information required, but they are not very useful in practice, because:
required.
Turbulence Modelling
We now have a situation where the number of unknown variables exceeds the
number of equations available, which is called the closure problem. In order to
overcome this problem, we have to model^ the turbulence.
Modelling turbulence means that we should express the unknown variables in
terms of known variables. A common approach is to treat the turbulence as a
property of fluid (phenomenological analysis):
y
so that
y
= ( + t ) ∂
where μt is called the turbulent viscosity (Boussinesq 1988).
The zero, one and two-equation models are called the first-order closures, since
equations for first-order moments (mean values) are modelled.
and Turbulent Flows
Turbulence models
One-equation models … μ t expressed as a
function of variables, one of which will be
solved simultaneously.
Two-equation models … μ t expressed as a
function of variables, two of which will be
solved simultaneously
Zero-equation models … μ t specified as a
constant or algebraically
Second-order closures … Equations for the
Reynolds stresses (second-order moments) will
be solved simultaneously with the equations for
U , V,Wand P.
The first-order closures
The Reynolds stress is given by
y
t =^ - uv= t ∂
where, Prandtl (1925) hypothesised that the velocity fluctuations can be given by
y
u v lm ∂
The mixing length lm comes from the analogy with the mean-free path of
molecules.
and Turbulent Flows
Zero-equation models
In zero-equation turbulence models, the mixing length l m is set either a constant
value or given as an algebraic expression.
y
y =0.14-0.08 1 - R
l
2 4 m
and Turbulent Flows
l u u = l
yu y =
y l = .y^1 - exp -
m m
w
m
κ ρ ν
τ
ν
κ
where, lm = 0 as y
→ 0 and lm = κ y as y
→ ∞
One-equation models
In zero-equation models, y
t ∂
y
and Turbulent Flows
Note that all the RHS terms are unknowns and must be modelled. We usually
model them as,
l
( k) =C.. x
u
y
U
y
k ( vk+vp)=
3
j
i
2 3
ij=
t
t
D
k
μ ρ
ρ μ
σ
μ ρ
⎟
⎟ ⎠
⎞ ⎜
⎜ ⎝
⎛
∂
∂
∂
∂
∂
∂
,
Therefore, the modelled kinetic-energy equation for the turbulent boundary layer is
given by
l
k
U
y
k
y
= Dt
Dk
m
2
t k
t D
ρ^32 μ σ
μ ρ (^) ⎟⎟ ⎠
⎞ ⎜⎜ ⎝
⎛
∂
∂ ⎟⎟ ⎠
⎞ ⎜⎜ ⎝
⎛
∂
∂
∂
∂
where, σ k and CD are constants, and lm is specified algebraically.
Two-equation models
As the flow field gets more complex, it becomes difficult to specify the length scale
(or the mixing length lm) by an algebraic expression. In two-equation models, both
Vt and lm are obtained by computing the transport equations.
In general, we require the transport equation for k and another quantity, z made up
of k and l.
l
k and l
k z .... f, , l, kl where, f
(^12) 3/
Again, the transport equation for z will contain unknown quantities that must be
modelled.
and Turbulent Flows
The most popular two-equation model is called k-ε model , which uses ε
(dissipation rate) as z. The transport equations for k and z will be solved
simultaneously together with the equations for U , V,WandP. The transport
equation for the dissipation rate is given by
k
U +C k y y
= Dt
D
2 t
2 1 2
ρ ε ρ
ε
σ
ε μ ρ ε
⎟⎟ ⎠
⎞ ⎜⎜ ⎝
⎛
∂
∂ ⎟⎟ ⎠
⎞ ⎜⎜ ⎝
⎛
∂
∂ ∂
∂
The second-order closures
All the first-order closures we have considered so far use the Boussinesq’s
turbulent viscosity concept:
y
t =^ - uv= t ∂
There are many situations where
when = 0 y
t 0 ∂
The wall jet is a mixture of the boundary layer and free jet. For the turbulent wall
when = 0 y
uv 0 ∂
In second-order closures, the turbulent viscosity concept will not be used. Instead,
solving their transport equations. For example, the Reynolds stress transport
equation for 2-D boundary layers is given by