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April 4, 2009, 03:57 
Urans and rans

#1 
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Asghar
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HI dears
are there any different between terms of equations of RANS and URANS ? only in apparent not in application! 

April 4, 2009, 04:50 

#2 
Senior Member

The URANS have a time derivative term in each equation, the RANS don't have it.
So, the first one are unsteady, the second one not. It's much more than a visual difference 

April 4, 2009, 09:02 

#3 
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Asghar
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tks
but in RANS eq. We have to use this time derivations !! 

April 4, 2009, 11:58 

#4 
Senior Member

No, RANS stands for Reynolds Averaged NavierStokes while URANS stands for UnsteadyRANS. So, in the RANS equations no time derivative exists, not at all.
In RANS equations the velocity field is decomposed in a time averaged part and a turbulent fluctuation and both of them, when time averaged, gives two costant terms (in time) whose time dirivative is zero. In URANS equations the time average is defined in a different way such that the time averaged part of the velocity field is not costant in time so its time derivative is not zero. Even if questionable, this is the only difference in the two set of equations. 

April 5, 2009, 02:40 

#5 
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Asghar
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that is true!
but in text books (Ferziger (pp 293) or ...) in RANS Eqs. there is @(ro u) /@t in momentum Eq. 

April 5, 2009, 13:44 

#6 
Senior Member

It's probably due to the fact that i'm not a native english speaker but i'm not a huge fan of the Feriziger's book...it's always quite compressed and obscure, explaining things in a very nonlinear fashion.
However, in this point, it is relatively clear and the real problem is just a matter of definition. In fact: 9.4 (pp 292): "In Reynoldsaveraged approaches to turbulence, all of the unsteadiness is averaged out i.e. all unsteadiness is regarded as part of the turbulence" But, few lines down: 9.4.1: "In a statistically steady flow, every variable can be written as the sum of a timeaveraged value and a fluctuation about that value... Here t is the time and T is the averaging interval. This interval must be large compared to the typical time scale of the fluctuations; thus we are interested in the limit of T > inf, see Fig. 9.10..." "If the flow is unsteady, time averaging cannot be used and it must be replaced by ensemble averaging...This type of averaging can be applied to any flow" So, what he pratically says is that under the name of RANS he has included the cases where the flow is statistically steady and a simple time average can be used and the cases where it isn't and an ensemble averaged is required. He explains this with the help of Fig 9.10 and saying that performing the ensemble average covers both of the two approaches and it is necessary to include the time derivative term What effectively changes between RANS and URANS is the presence of the time derivative term and is up to you to choose if your case has to be run in steady or unsteady mode. You can check this wherever is present the definition of both the terms. 

April 6, 2009, 03:09 

#7 
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Asghar
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thanks.
It is correct! "In a steady condition @/@t is zero" but I have another question. In simulation of a steady condition can we didn't use @/@t ? if "yes" are you think that this type of Eq. converged to steady condition? I didn't test that myself, but I think for stability (or for more stability), even in steady condition, we have to use terms of @/@t. If you have good reference for this discussion please send it for me "a_bohluly@yahoo.com" 

April 6, 2009, 08:08 

#8 
Senior Member

Actually, steady computations make use of the unsteady equations integrated in time with a simple backward euler scheme (so implicit) and very big time steps.
The equations are integrated in time until the steady state is reached. It's easy to understand that if the flow is such that a steady condition isn't possible than there will not be any convergence 

April 6, 2009, 08:31 

#9 
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Shyam
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As mentioned in the previous message, if a flow has unsteady phenomena, it might not converge in RANS computation. In my case, I did a axisymmetric jet case, and for a particular pressure ration, I was not able to get a convergence with the RANS model, and the computations showed something like vortex shedding (though not time accurate). To my surprise, the corresponding experimental results reported a screetching tone!!


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