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Influence of flow behavior on residuals

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Old   July 10, 2015, 08:41
Default Influence of flow behavior on residuals
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Alex
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Hello,

could someone give me an explanation why complex processes like separation bubbles have such an influence on the residuals of a RANS simulation?
Iīm quite new to CFD and donīt really understand the reason for this, i mean
how exactly do high gradients and strong unsteadiness affect the solution process?

Thanks!

Regards
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Old   July 16, 2015, 23:55
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Alex
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Could someone help me please?
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Old   July 24, 2015, 12:30
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David
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I don't really understand what you mean. The solution is presumably iterative, and as the iteration proceeds the residuals (hopefully) reduce. It takes many iterations for the regions of complex flow, e.g. separation bubbles, to be computed properly. So there will be contributions to the residuals from these regions.
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Old   July 24, 2015, 20:59
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I am talking about the 2D simulation of a flow through cascade, using a Transition Model for turbulence.
Since I can exclude modelling errors and bad mesh quality, I thought the convergence problems I am facing occur due to the complex features of the flow.
I tried to run the calculation steady-state as well as transient, but the residual behavior didnīt change. The solution converges well for first order upwinding, but not for second order.
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Old   July 27, 2015, 03:57
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Hello NavierStokes,

Could you please get a little more specific regarding your "residual problems". Do you get undesired residual values in the continuity/momentum/energy equation or do you get the undesired values in the additional equations for your turbulence model? If you have a good post processing tool available, you can check the location of the "bad residuals" and see if they occur in your mentioned complex features or in the whole solution domain. This could give you a hint where the problems arise.

For second order upwind schemes oscillations in the solution can occur, depending on your boundary- and initial conditions as well as your mesh quality and size. You could try to use a TVD-scheme for the discretisation. These schemes have some sort of flux limiting function to stay stable during the whole solution process. In theory this gives you more than first order accuracy in your discretization process while staying stable during the solution process.
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