how to solve the navier-stokes equationlibvolume3.xyz/civil/btech/semester8/finiteelement... ·...
TRANSCRIPT
HOW TO SOLVE THE NAVIER-STOKES EQUATION
Benk Janos Department of Informatics, TU München
JASS 2007, course 2: Numerical Simulation: From Models to Software
Based on:
ON PRESSURE BOUNDARY CONDITIONS FOR THE
INCOMPRESSIBLE NAVIER-STOKES EQUATION
Phlilp M. Gresho and Robert L. Sani
International Journal For Numerical Methods In Fluids, Vol 7, 1111-1145(1987)
Content
Short introduction
Analysis of the continuum equation
Pressure Poisson equation
Boundary conditions
Discrete approximation to the continuum equation
Short introduction
- Important field of application of the numerical simulation
- The flow is a result of different physical processes - Numerical flow simulation has a various fields of
application, real scenario simulations.
http://www.cfd-online.com/Links/misc.html#picts
Analysis of the continuum equation
( ) gugradPugradut
u+∆=+••+
∂∂
Re
1
0=udiv
The second equation is the continuity equation
The momentum equation for incompressible fluids
If it would be compressible fluid
tudiv
∂∂
=ρ
(1)
(2)
(3)
Analysis of the continuum equation
t
u
∂∂
Each part from the (1) equation has a contribution to the momentum
The velocity change describing the acceleration of a infinite mass point. It must be in balance with …
( ) ugradu •• the convective term describing the frictionless acceleration induced by the velocity filed.
gradP the gradient of the pressure. (by definition is an acceleration)
Analysis of the continuum equation
u∆Re
1 This component reflects the interior drag of the fluid.
Re is the Reynolds number.
The drag appears between two layers of fluid with different
velocity.
- The friction force is acting against the velocity gradient
- This laminar flow, which opposes turbulent flow
Analysis of the continuum equation
- At gas flow this term can be neglected, but by fluids not (e.g. honey)
-The internal friction is also called viscosity, which characterize each fluid.
vs - mean fluid velocity, L - characteristic length,
µ - (absolute) dynamic fluid
viscosity, ν - cinematic fluid viscosity:
ν = µ / ρ, ρ - fluid density.
source:http://en.wikipedia.org/wiki/Reynolds_number
Analysis of the continuum equation
Ω∂≡Γ
We need boundary conditions so that the problem will be solvable
- Ω is the fluid domain , and is bounded by Γ
gExternal accelerations. ex: gravity
This component contains other forces which
are not represented by other terms
Analysis of the continuum equation
- This leads to the BC for the continuity equation (mass conservation) n is the normal vector on the boundary
∫Γ
=• 0wn (4)
w is the velocity on the boundary (Dirichlet BC) u = w(x,t) on Γ
( ) nxwnu ⋅=⋅ 0,0
We consider the initial situation t=0
Analysis of the continuum equation
In 2D we have the following vectors on the boundary
n -> normal vector
τ -> tangential component
00 =⋅∇ uAccordingly to equation (2), this holds also for the initial
velocity field in Ω
Pressure Poisson equation
Calculate the pressure field from a velocity field.
Want to have a relation between pressure and velocity, in discrete and in continuum time.
Show one way to get the Poisson equation
Pressure Poisson equation
( ) ugradPugradut
u∆=+••+
∂∂
Re
1
( )( ) ( )uPuutu22
Re
1/ ∇⋅∇=∇+∇⋅+∂∂⋅∇
We start with equation (1), and we neglect external influences
First we apply the divergence operator, so we get:
We use the following expression to process further the equation:
( ) uuu ×∇×∇−⋅∇∇=∇ 2
Pressure Poisson equation
( ) 0=rotAdiv
( ) )/)()(Re
1( 22 tuuPuu ∂⋅∇∂−⋅∇∇=∇+∇⋅⋅∇
And because:
for any (differentiable) vector field.
We obtain:
We obtain the pressure Poisson equation:
∇⋅−∇⋅∇=∇ uuuP22
Re
1
Pressure Poisson equation
Puuut
uu∇−∇•−∇=
∆−+ 20
Re
1
A slightly modified system has to be solved for the discrete time dependent solution.
Discretizing the first(1) equation:
Expressing u+ and insert the solution in the second(2) equation, we can calculate the pressure
0=⋅∇ +u
Boundary condition
To complete the specification of the problem for the pressure, we must set BC’s (boundary conditions) on Γ
It is important how we include the boundary conditions in our system.
For the boundary condition we need a scalar value, so we have 2 choice: either the normal or the tangential projection
Boundary condition
( )nnn uutuunPPn ∇⋅+∂∂−∇=∂∂≡∇⋅ )/(Re
1/ 2
on Γ
The BC with the tangential component (Dirichlet):
First we choose the normal component: (Neumann)
( )τττττ uutuuPP ∇⋅+∂∂−∇=∂∂≡∇⋅ )/(Re
1/ 2
It has been proven that these 2 conditions are equivalent.
We can calculate the pressure up to an arbitrary
additive constant!!!
on Γ
Boundary condition
( ) fuuuPtu ≡∇⋅−∇=∇+∂∂ 2
Re
1/
( ) 0/ =∂∂⋅∇ tu
The question is: When the original NS problem is well-posed, so is the associated Poisson/Neumann problem?
Here is the proof: We start with the first equation
and in Ω
also ( ))/(/ tufnnP ∂∂−⋅=∂∂ on Γ
Boundary condition
∫ ∫Ω Ω
⋅∇=∇ fP2
∫ ∫Γ Γ
⋅=∂∂ fnnP /
( ) ∫∫ΓΓ
⋅=∂∂−⋅ fntufn )/(
Apply Green formula, and we obtain an integration on the boundary
Substituting the left side, we obtain the following equation
Boundary condition
∫∫ ∫Γ
•
Γ Γ
⋅
=⋅=∂∂⋅= ),(),()/(0 txwndt
dtxwntun
Finally we obtain the following equation
w is representing the velocity on the boundary.
We obtained the mass conservation law (4), which is
satisfied.
This means that our transformed problem is also well posed.
Discrete approximation to the continuum equation
Build the system of equations
We want to calculate the real pressure, on the boundary
Check whether the system has a correct boundary result
Discrete approximation to the continuum equation
We can write the momentum and the continuity equation in the following discretized general way:
( ) ( ))(tgDu
tfKuGPuuAuM
=
+=++•
M – mass matrix, (for equidistant discretization is the unit matrix)
A – advection matrix
G – gradient matrix
K – diffusion matrix
D – divergence matrix
Discrete approximation to the continuum equation
TGD
uuAtfKub
=
−+≡ )()(
f(t) , g(t) - represents the effects of the boundary Dirichlet conditions on velocity.
We use the following notations and equalities:
Denoting G with C we get:
=
••
g
b
u
P
C
CMT 0
Discrete approximation to the continuum equation
( ) 0=tgP TH
We consider the hydrostatic pressure P=(1->1),
the system has a solution if g(t) satisfies the following
condition.
From the above define system we can derive the discrete pressure Poisson equation:
( ) ( )•
−− −=⋅⋅⋅ gtubMCPCMCTT
,11
Discrete approximation to the continuum equation
We use the following staggered mesh:
We apply the continuity equation for cell with
P0(on the boundary)
0=−
+−
••••
h
vv
l
uu snwe
Discrete approximation to the continuum equation
( )nnnuutuunPPn ∇⋅+∂∂−∇=∂∂≡∇⋅ )/(
Re
1/ 2
Expressing all 3 terms (ue is known on the boundary) from the momentum equation.
We use Taylor expansion to express the velocity at the “fictive” nodes, and we use the boundary velocities
With l, h ->0 (on the limit) we get the real boundary condition.
)()/(4
3/)32( 222 lOxvlvvv
nmn+∂∂=+−Γ