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December 17, 2016, 13:20 |
RANS Vs LES
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#1 |
Member
Polard
Join Date: Oct 2015
Posts: 31
Rep Power: 11 |
My Question is , will LES give the same field after averaging over time(any flow field Quantity) as given by a RANS model?
I am trying to simulate jet flows and I am getting matched profiles with experiments in case when I used RANS Model(K-omega) but when I applied averaging over time in LES then i was not able to get same results. |
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December 17, 2016, 13:52 |
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#2 |
Super Moderator
Alex
Join Date: Jun 2012
Location: Germany
Posts: 3,427
Rep Power: 49 |
A LES -when performed correctly- is supposed to yield the same statistics as a DNS or an experiment. Not necessarily the same statistics that a RANS method would produce because of the inherent flaws of this approach.
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December 17, 2016, 13:54 |
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#3 |
Senior Member
Filippo Maria Denaro
Join Date: Jul 2010
Posts: 6,897
Rep Power: 73 |
The two fields are not exactly the same... for RANS you compute directly for <v> while for LES, after you average the solution you get <v_bar>.
If the difference is disregardable or not would depend on many factors. |
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December 17, 2016, 14:31 |
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#4 |
Member
Polard
Join Date: Oct 2015
Posts: 31
Rep Power: 11 |
Thank u Sir , for your Quick Reply
But I am little confused as I want this difference to be as small as possible. I am trying to model the jet noise for which I need to do LES to resolve audible range of frequency emitted from the jet. When I applied my boundary conditions initially For RANS model ( Free stream Exterior, Nozzle as Free Stream inlet) I got the flow profile quiet close to experimental data, on the other hand the averaging over time done in LES gave different results. According to you what parameters should I change(experiment) in an standad LES model as it is very time consuming. |
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December 17, 2016, 15:31 |
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#5 |
Senior Member
Filippo Maria Denaro
Join Date: Jul 2010
Posts: 6,897
Rep Power: 73 |
The difference exists always by a theoretical point of view and depends on the size of the filter in LES. It can or not be highlighted by the statistics.
However, I first suggest to check carefully that your LES solution is good! Therefore: check the grid resolution, use the dynamic SGS model, use a high order discretization (space and time), be careful to compute the time-averaging only after the numerical transient (due to the numerical initial condition) is disregarded, perform the averaging on a sufficient number of samples. It would be useful if you post the results in terms of plot of RANS vs. LES |
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