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Computing the energy spectrum of a turbulent channel flow |
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August 15, 2018, 02:04 |
Computing the energy spectrum of a turbulent channel flow
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#1 |
New Member
David
Join Date: Aug 2018
Posts: 2
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Hi Guys,
I am a newcomer to the world of computational fluid dynamics so please bear with me. I have been playing with a channel flow similar with periodic boundary conditions in the x and z direction. Now I am trying to compute the 1D and 2D energy spectrum of the channel. As far as I understand it simply a fourier transform for the time series of the time series of the directional velocities for the 1D case. Is this the case ? I have also outputted the results of my simulation every 2000 steps, would I need to have more frequent output for the purposes of the energy spectrum? Thanks so much for your help David |
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August 15, 2018, 04:35 |
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#2 |
Senior Member
Filippo Maria Denaro
Join Date: Jul 2010
Posts: 6,897
Rep Power: 73 |
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August 21, 2018, 05:31 |
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#3 |
New Member
David
Join Date: Aug 2018
Posts: 2
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Thanks for the reply, sorry I missed the previous post which I have now gone through and it has been an immense help.
One question that pops up when I am trying to perform these calculations myself. If I am trying to compute the spectra along Kx, I am taking a constant-y plane then performing fft over the time series of each z value correct? What I am confused about is that each z value also has a corresponding x values so am I performing the fft at each grid point in the y-plane? If it's only for each z values then what do I do with the points along a certain z. Thanks very much for your patience, I am still quite new to CFD in general so these questions might seem a bit basic. |
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August 21, 2018, 05:40 |
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#4 | |
Senior Member
Filippo Maria Denaro
Join Date: Jul 2010
Posts: 6,897
Rep Power: 73 |
Quote:
The order can be the following: 1) fix a time and use the velocity field at this time 2) fix a position y (distance from the wall) 3) Compute the spectra in the plane xz, that is the spectra along kx (kz) for all the discrete positions z (x) of the grid. 4) Perform the ensemble averaging in z (x) of the spectra along kx (kz) 5) Repeat from 1) at a different time After you have a sufficient sample of spectra in time, perform the ensemble averaging in time. As final results you can show the spectra Euu,Evv,Eww both in kx and in kz. |
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