Geoscience Reference
In-Depth Information
can be designed to remove eddies smaller than a cutoff scale , say, chosen such
that η .
The reduction in computational requirements that results from averaging comes
at a price. As we saw in Chapter 2 , the averaged Navier-Stokes equation has a
Reynolds stress that must be approximated, or modeled , before the equation can be
solved. The resulting flow models fall into two broad classes. Reynolds-averaged
Navier-Stokes (RANS), also called second-order closure , discussed in Chapter 5 ,is
based on ensemble averaging; large-eddy simulation (LES), discussed in Chapter 6 ,
uses space averaging.
3.2 Ensemble-averaged equations
We begin with the continuity equation, which for a constant-density fluid reduces
to a zero-divergence requirement for the full velocity field
u i :
˜
u i
˜
∂(U i +
u i )
∂x i =
=
0 .
(3.1)
∂x i
Ensemble averaging this equation, using the rules in Chapter 2 , yields
u i
˜
u i
˜
∂U i
∂x i =
∂x i =
∂x i =
0 ,
(3.2)
so the mean field has zero divergence. Subtracting this from Eq. (3.1) then yields
∂u i
∂x i =
0 ,
(3.3)
so the fluctuating field also has zero divergence.
We consider next the Navier-Stokes equation (1.26) , which by incompressibility
we can write as
2
˜
u i ˜
u j
∂x j
˜
˜
˜
u i
1
ρ
p
∂x i +
u i
∂t +
=−
ν
∂x j ∂x j .
(3.4)
Ensemble averaging yields
2
u i
∂t +
˜
u i ˜
u j
∂x j
˜
1
ρ
p
∂x i +
˜
u i
∂x j ∂x j .
˜
=−
ν
(3.5)
Using
u i = U i ,
p = P and applying the ensemble-averaging rules to
u i u j yields
∂x j U i U j +
u i u j =−
2 U i
∂x j ∂x j .
∂U i
∂t +
1
ρ
∂P
∂x i +
ν
(3.6)
 
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