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Old   December 15, 2017, 14:31
Default Implicit LES
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I am currently having a problem with my implicit LES code. I am currently modelling a round jet using a profile similar to that described in Sagaut. I am using a non-dynamic Smagorinsky model as its the simplest to implement. I am using \nu_{laminar} = 15,000 and I see no turbulence. The jet acts like its laminar. If I remove the SGS model and do DNS I see turbulence. My domain is 8 x 8 x 8 and am using 90^3 grid points. I am using simple second order discretization for both advection and viscous terms. As far as I know for implicit LES this should be sufficient to get decent results.

Given I am in the incompressible regime the way I handle my viscous terms is as follows

\frac{D\bar{u}_{i}}{D t} = - \frac{\partial \bar{p}}{\partial x_{i}} + \frac{\partial}{\partial x_{j}} \left[ (\nu_{laminar} + \nu_{SGS}) \frac{\partial \bar{u}_{i}}{\partial x_{j} }\right]

It seems like the SGS viscosity is damping out all the turbulence. With that said, the way am discretizing the stress tensor magnitude in the Smagorinsky model is using central differencing as well, which I presume is appropriate. Thoughts?
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Old   December 15, 2017, 15:01
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Quote:
Originally Posted by selig5576 View Post
I am currently having a problem with my implicit LES code. I am currently modelling a round jet using a profile similar to that described in Sagaut. I am using a non-dynamic Smagorinsky model as its the simplest to implement. I am using \nu_{laminar} = 15,000 and I see no turbulence. The jet acts like its laminar. If I remove the SGS model and do DNS I see turbulence. My domain is 8 x 8 x 8 and am using 90^3 grid points. I am using simple second order discretization for both advection and viscous terms. As far as I know for implicit LES this should be sufficient to get decent results.

Given I am in the incompressible regime the way I handle my viscous terms is as follows

\frac{D\bar{u}_{i}}{D t} = - \frac{\partial \bar{p}}{\partial x_{i}} + \frac{\partial}{\partial x_{j}} \left[ (\nu_{laminar} + \nu_{SGS}) \frac{\partial \bar{u}_{i}}{\partial x_{j} }\right]

It seems like the SGS viscosity is damping out all the turbulence. With that said, the way am discretizing the stress tensor magnitude in the Smagorinsky model is using central differencing as well, which I presume is appropriate. Thoughts?

what do you mean for this viscosity value??

Then, the grid seems quite coarse and the static Smagorinsky model can give too dissipation. What about the value of the constant?
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Old   December 15, 2017, 15:09
Default Implicit LES
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So in Saugaut's book they are using 10 x 10 x 10 with domain with 100 grid points in each direction. What I meant by viscosity value I mean the laminar viscosity. My C_s value is 0.15.
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Old   December 15, 2017, 15:19
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So in Saugaut's book they are using 10 x 10 x 10 with domain with 100 grid points in each direction. What I meant by viscosity value I mean the laminar viscosity. My C_s value is 0.15.

viscosity or Reynolds number??
This value of Cs can be too large and the lenght of the streamwise direction can depend on the inflow conditions (base + superimposed perturbation).

You should post your results for a better discussion.
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Old   December 15, 2017, 16:56
Default Problem in LES
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"viscosity or Reynolds number?? "

I am talking about viscosity. I am running my simulation with Cs=0.01 to see if I get a change. When it is done I will post my results.
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Old   December 15, 2017, 19:12
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[QUOTE=selig5576;675267
It seems like the SGS viscosity is damping out all the turbulence. With that said, the way am discretizing the stress tensor magnitude in the Smagorinsky model is using central differencing as well, which I presume is appropriate. Thoughts? [/QUOTE]

It should be central yes. I guess you have a problem that needs debugging.
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Old   December 16, 2017, 05:05
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"viscosity or Reynolds number?? "

I am talking about viscosity. I am running my simulation with Cs=0.01 to see if I get a change. When it is done I will post my results.

Still not clear the value 15,000 for the laminar viscosity ...
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