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Old   August 21, 2014, 06:25
Default Get pressure from velocity
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Hi everyone,

What's the best solution to get the pressure field from the velocity field ?
Solving the pressure poisson equation (PPE) ?

( I will assume the boundary for conditions for pressure depending on each flows. )

Thank you very much !

samuel
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Old   August 21, 2014, 08:56
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Quote:
Originally Posted by samycfd View Post
Hi everyone,

What's the best solution to get the pressure field from the velocity field ?
Solving the pressure poisson equation (PPE) ?

( I will assume the boundary for conditions for pressure depending on each flows. )

Thank you very much !

samuel

is the velocity field divergence-free? If yes, you can solve the Poisson equation, however be careful your pressure will be defined apart a function of time
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Old   August 21, 2014, 09:09
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The velocity is assumed to be divergence-free ( the gradient of the out-of-plane component is very small ) .

I have solved the PPE but still get some wrong results compare to a fluent simulation. I am studying only steady cases so the time dependence does not matter.

I am using finite differences to compute the RHS of the PPE ( Lap(P) = ux^2 + uxvy + uy^2 ). Are there any issues there ? ( I am using forward differences ).
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Old   August 21, 2014, 12:30
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do you know the 3 velocity components in the same nodes of a Cartesian box? Are they equidistant?
First of all, check the (Div v) value in each node using central second order formula. Then, consider the steady momentum equation:

Grad (p/rho0)= Div (2ni*Grad v - vv)and take the divergence of both sides to write the Poissone equation for pressure.
Be carefull that boundary conditions must be properly posed on the frontier
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Old   August 21, 2014, 14:01
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The problem is that I not always know the three components. But if just know two of them, the case could often be assimilated to a planar case( in the flows I am going to study.. of course it's not always right!)

I have checked the divergence of the flow.

What represent ni and vv in your equation ?

If I take the divergence of both sides of the navier stokes equation

grad(P) = 1/rho * [ - grad(v) v + nu * lap(v)]

and assuming div(v) = 0 , then at the second order I get

lap(P) = - 1/rho * ( u_x^2 + u_x * v_y + v_y ^2 )

( where v=(u,v) and u_x represent the derivative along the x axis of u and so on .. )

Is that right ?
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Old   August 21, 2014, 14:22
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Quote:
Originally Posted by samycfd View Post
The problem is that I not always know the three components. But if just know two of them, the case could often be assimilated to a planar case( in the flows I am going to study.. of course it's not always right!)

I have checked the divergence of the flow.

What represent ni and vv in your equation ?

If I take the divergence of both sides of the navier stokes equation

grad(P) = 1/rho * [ - grad(v) v + nu * lap(v)]

and assuming div(v) = 0 , then at the second order I get

lap(P) = - 1/rho * ( u_x^2 + u_x * v_y + v_y ^2 )

( where v=(u,v) and u_x represent the derivative along the x axis of u and so on .. )

Is that right ?
but if you don't have the complete 3D velocity field the problem is big...
However, you have to discretize the equation as

Div (Grad P) = 1/rho * Div [ Div ( 2*nu *Grad v - vv)]

vv is the convective flux. You cannot assume div v =0 without ensuring that is numerically satisfied in each node
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Old   August 21, 2014, 14:30
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Yes of course but I am asked to qualify in which extent this assumption ( divergence-free) is still right by maybe defining a value for the divergence above which results will be wrong. But anyway I will deal with that and I have understood the problem.


So I will try this equation !
But I don't understand why I have to discretize the equation in this way ? Is the problem about numerical instabilities or convergence of the equation ?


Thank you very much for your answers !
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Old   August 21, 2014, 15:15
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Quote:
Originally Posted by samycfd View Post
Yes of course but I am asked to qualify in which extent this assumption ( divergence-free) is still right by maybe defining a value for the divergence above which results will be wrong. But anyway I will deal with that and I have understood the problem.


So I will try this equation !
But I don't understand why I have to discretize the equation in this way ? Is the problem about numerical instabilities or convergence of the equation ?


Thank you very much for your answers !
If you integrate that equation over the surfaces of the domains, provided that the BC.s are correct, you satisfy the compatibility relation that ensures the existance of a solution.
If you want, more details are in http://onlinelibrary.wiley.com/doi/1...d.598/abstract
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Old   August 21, 2014, 16:09
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Do you know where I can find the full-text online ? Or could you send me the paper by private message ( because I ve figured out that you were the author ) ?

Thanks !
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Old   August 21, 2014, 16:19
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https://www.researchgate.net/publica...ns?ev=srch_pub
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Old   August 21, 2014, 16:55
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Thank you, I will take a look at it and try to understand all of that !

Best regards
Samuel
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Old   August 22, 2014, 05:42
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You would mean Div (Grad P) = 1/rho * Div [ Grad( 2*nu *Grad v - vv)] ?because we could not take the divergence of a scalar value.

Do you agree with the fact that the convective term is ( v . grad ) v ?

Thanks
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Old   August 22, 2014, 05:45
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Quote:
Originally Posted by samycfd View Post
You would mean Div (Grad P) = 1/rho * Div [ Grad( 2*nu *Grad v - vv)] ?because we could not take the divergence of a scalar value.

Do you agree with the fact that the convective term is ( v . grad ) v ?

Thanks

no, from the Reynolds theorem you write Div (vv) that is a vector (therefore you still can calculate divergence).... only if you use the mass equation then you can rewrite the momentum equation in quasi-linear form
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Old   August 22, 2014, 05:53
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I don't understand how is it possible, because the divergence returns a scalar ...
I don't get your point .

Before using the mass equation, after taking the divergence you normally get something like : div ( grad P ) = div ( nu lap(v) - vv )
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Old   August 22, 2014, 06:11
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Quote:
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I don't understand how is it possible, because the divergence returns a scalar ...
I don't get your point .

Before using the mass equation, after taking the divergence you normally get something like : div ( grad P ) = div ( nu lap(v) - vv )

no, vv is a tensor (as Grad v), therefore its divergence is a vector

The diffusive flux is 2*nu*Grad v, when you take the divergence it writes nu*Lap v only if Div v is fulfilled.
Therefore

( grad P ) = Div ( nu 2*nu*Grad v - vv )

-> Div ( grad P ) = Div [Div ( nu 2*nu*Grad v - vv )]
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Old   August 22, 2014, 06:38
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I have understood one part but why the convective term is a tensor ?

Grad v is a tensor, in 2D we get : Grad v = [ ux uy ; vx vy ] ( Matlab notation )

but the convective term defined as ( v . grad ) v gives a vector for me :

( v . grad ) v = [ u ux + v uy ; u vx + v vy ]

I must be wrong somewhere but I don't know why
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Old   August 22, 2014, 09:03
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Quote:
Originally Posted by samycfd View Post
I have understood one part but why the convective term is a tensor ?

Grad v is a tensor, in 2D we get : Grad v = [ ux uy ; vx vy ] ( Matlab notation )

but the convective term defined as ( v . grad ) v gives a vector for me :

( v . grad ) v = [ u ux + v uy ; u vx + v vy ]

I must be wrong somewhere but I don't know why

the convective flux of the momentum quantity is a tensor as it represents the mass for volume unit (rho*v) macroscopically transported by the velocity field v.
I suggest have a reading of some basical fluid mechanics textbook
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Old   August 22, 2014, 09:21
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So you're talking of something different from the convective term in Navier-Stokes equation ?

Because for me it's that ( 3.1 section )
http://en.wikipedia.org/wiki/Navier%...e_acceleration
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Old   August 22, 2014, 09:27
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Quote:
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So you're talking of something different from the convective term in Navier-Stokes equation ?

Because for me it's that ( 3.1 section )
http://en.wikipedia.org/wiki/Navier%...e_acceleration

the difference is just in the conservative or quasi-linear form of the NS equations, however both v*Grad v and Div (vv) produce a vector.
For the formulation of a general transport equation, the Reynolds transport theorem is the corner stone. From that you can derive everything...
Have a reading of some good textbook, wikepedia is very poor...
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Old   August 22, 2014, 09:42
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I know it was just because there formula were written clearly.

In a lot of great books I found the Pressure poisson equation in 2D for a divergence-free flow as the following : ( approx ~ 2nd order )

laplacien(p) = - rho * ( (u_x)^2 + u_x * v_y + (v_y)^2 )
+ Boundary conditions

I want to be certain, you told me that it is not correct ?
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