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November 21, 2011, 01:20 
Periodic Pipe Flow LES

#1 
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Dmitry Volkind
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Dear all!
I need some advice on modeling a fully developed pipe flow with periodic boundary conditions using LES. My goal is to get a realistic transient inlet BC for my problem. That's how I'm trying to achieve this: 1. Consider a circular pipe (5*D long) with periodic BCs (mass flow rate). 2. Obtain a steady state solution with RANS (I used SST). 3. Run LES using the RANS solution as initial conditions. 4. Import transient boundary profile as an inlet BC for the LES of my actual problem. I'm using a hexamesh with Y+ at wall around 1, growth ratio around 1,1. Re = 8400, Courant number < 1. The major problem is that I can't get a converged (judged by residuals) solution with periodic BCs both in transient and steady state. When I run the same model with mass flow inlet and pressure outlet it does converge, but the velocity profile looks unphysical. The other problem is that the flow pattern doesn't become turbulent, even if I add significant velocity fluctuations for the initial velocity field, they tend to damping. So, I would like to ask the following: 1. What are the possible reasons of convergence problems? 2. Probably different convergence criteria should be used with periodic BCs? 3. What kind of grid is better for LES? As far as I know it should be as uniform as possible and have aspect ratios around 1. But what type of mesh is more preferable  tetra or hexa? And why? CFX Reference Guide says it should be isotropic, so tetra is better (4.1.11.4.2. Meshing). I've also seen a post by Mr. Horrocks, where he recommended to use hexa. When I use a tetrahedral mesh with approximately the same sizes I get the same results. 4. What is the reason of the turbulence damping? Residuals plot for steady state: steady.jpg Residuals plot for transient: transient.jpg Velocity profile with mass flow inlet and pressure outlet: Profile_Inlet&Outlet.jpg Velocity profile with periodic BCs with specified mass flow rate: Profile_Periodic.jpg Mesh: mesh.jpg Thanks to everyone in advance! Any help will be greatly appreciated. 

November 21, 2011, 05:02 

#2  
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Glenn Horrocks
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Quote:
Quote:
Quote:
High quality grids have less numerical dissipation, converge easier, use less memory (for hex grids) and can handle aspect ratio changes better. Your comment about not getting turbulent structures confirms you have too much dissipation, so this is a problem for you. You will need central differencing and second order time differencing. 

November 23, 2011, 12:34 

#3 
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Dmitry Volkind
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Hello, Glenn!
Thanks a lot for your answers! I'm now trying to get the steady state problem converged. To do this I started with agressive physical time scale, then I switched to local timescale factor, and it does converge that way (incredibly slowly though). The text on the link you gave me says not to run with local timescale all the way to convergence. So I switch back to physical time scale, and all important residuals and imbalances (characterizing flowaligned coordinate) begin to oscillate. And, if you don't mind, I would like to ask some more questions: 1. Is it necessary to get the final convergence without local time scale factor and why? 2. If it is, how to determine how many iterations are sufficient? 3. Will it be possible to reduce the amplitude of residuals/imbalances oscillations on the final iterations with physical timescale if I achive tighter convergence with local time scale factor? (I surely can try it myself, but it takes really long with my available hardware) 4. Probably I still go wrong somewhere? (convergence seems too tough for such a primitve steadystate problem) 5. Concerning LES: how else could I avoid dissipation you mentioned if I was already using central differencing / Euler second order backward and a "structured" hexa mesh? Thank you again! Sorry for asking too much. 

November 23, 2011, 18:51 

#4 
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Glenn Horrocks
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1) Yes, there has been some posts on this on the forum, search for them.
2) Not sure. I would suggest until things settle out. To be completely sure do a sensitivity analysis. 3) Possibly. But if the oscillations are physical then it will not make a difference. 4) You will need quite a large physical time step for this to work. Also be careful about making your mesh too fine for the RANS model. 5) Then you have done the main things. There are also some other options to consider regarding the detailed numerical approach such as RhieChow and interpolation schemes (and others). 

November 23, 2011, 23:03 

#5 
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Dmitry Volkind
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Thank yor for your answers!


November 24, 2011, 06:04 

#6 
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Glenn Horrocks
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Oh yes, and I forgot the main way to reduce dissipation  finer mesh and smaller time steps.


January 10, 2017, 04:58 

#7 
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Dmitry Volkind
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Hello, guys!
It's been several years since my last post, but I've been asked about this problem privately. So I decided to add some comments here in case someone else is interested. 1) To obtain LESlike content in a globally stable flow, an artificial turbulence synthesizer is required. It's available both in Fluent and CFX, however, the implementation is slightly different. 2) Whoever interested in the problem setup, be sure to check this manual by Dr. Menter from ANSYS. I don't have the 2.0 version, but in 1.02 they suggested to use WMLES for channel flow. I think, that DDES and SLES/SBES (new at R17) are also worth trying. 3) I should also note, that I haven't been able to obtain converged monitors in CFX with periodic boundary conditions applied to a straight channel (and I'm not the only one). However, if the channel has variable crosssection (i.e. not only skin friction, but also acceleration/deceleration affects pressure loss), it works fine. Fluent's implementation works in all cases, so I prefer it for periodic problems. 4) Some years ago I've compared different turbulence models in Fluent (steady periodic RANS circular pipe flow) against Blasius's solution for pressure drop and various laws (2 and 3layer von Karman, power law 1/6 and 1/7) for velocity profile. According to my comparison, SpalartAllmaras and RSM StressOmega yield best results. I can email my results and a project to demonstrate the problem setup. With kind regards, Dmitry 

March 20, 2020, 12:44 

#8 
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Matt Campbell
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I am working on LES periodic pipe flows and came across this. First, from my understanding, using translational Periodic BC, there is no 'inlet' or 'outlet' and specifying a profile will cause periodic cycling in the solution. The whole point is to let the solution develop without inlet conditions (which is difficult to get right for LES). The periodic condition 'ties' the outlet and inlet together numerically so flow structures and turbulent eddies persist over the boundary (you can show a large persistent structure move through the domain repeatedly.) Secondly, we have had a difficult time getting the 'right' solution for wall bounded LES in Fluent. Our assumption is that for fully developed pipe flow all turbulence originates at the wall (or rather due to the velocity gradients). If you look at the scales adequately the 'large' energy containing eddies approach the kolomogrov scale near the wall but quickly scale larger as you move away. This essentially results in a DNS at Y+<10 with a heavily adapting mesh to a well resolved LES (90%) by y+=100. Finally, we have struggled to get consistently good results and believe wall bounded LES is a relatively open topic in the CFD community (as opposed to many external flows like free shear and jets). I welcome anyone with experience to comment, correct or clarify any of this!


March 21, 2020, 05:30 

#9 
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Glenn Horrocks
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A periodic inlet/outlet is one approach, but it is still not perfect as it introduces a frequency into the simulation of the fluid residence time, and the length of your domain sets that frequency. Obviously this can be minimised by making the domain long enough that the residence time frequency is easily separated from the LES frequencies. And secondly, you still have to drive the flow somehow, and that is normally done by a source term in the periodic inlet/outlet approach, and this source term is not physically accurate either.
If you are struggling to get good results in LES that is not surprising. It requires large computing power and carefully developed CFD solvers with very low dissipation to work. You have to be very careful in doing accurate LES with commercial solvers, getting the dissipation low enough is challenging.
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convergence, les, periodic bc 
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