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Old   October 21, 2015, 17:03
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Can someone explain me why CFX says that if the pseudo time scale is too small, the solution may not be fully accurate ?
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Old   October 21, 2015, 18:06
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Where and when does CFX say this? You should post more details in order to get a reply.

For example, if you are solving a steady state problem and the time step is too small, it is possible you will solve unsteady behaviours affecting your
solution and thus your final steady state solution will not be properly converged.
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Old   October 21, 2015, 19:00
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In addition to highorder's comment, there is also:
* round off errors can affect small time step sizes
* the very slow convergence associated with small time steps can fool some convergence criteria into thinking the solution is converged prematurely. This depends on how the convergence criteria is defined.
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Old   October 21, 2015, 23:41
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Thank you very much for your answer.

When you say "round off errors", it's because there are more timescale so we accumulate many more errors ?

I don't see/understand very well your second point. Can you give me a concrete example to illustrate it ?

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Originally Posted by ghorrocks View Post
In addition to highorder's comment, there is also:
* round off errors can affect small time step sizes
* the very slow convergence associated with small time steps can fool some convergence criteria into thinking the solution is converged prematurely. This depends on how the convergence criteria is defined.
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Old   October 22, 2015, 05:34
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Round off errors - the main thing is that as the divisor get smaller the accuracy of the calculation decreases. This applies more to the mesh and physics than the time step, but can apply to the time step in some circumstances.

Convergence can be defined by when an output parameter changes by less than x% over the last 100 iterations. If you use a really small time step you can artificially slow this down and trigger your convergence criteria prematurely.
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