
[Sponsors] 
Convergence problem at high reynolds number 

LinkBack  Thread Tools  Search this Thread  Display Modes 
July 20, 2022, 15:09 
Convergence problem at high reynolds number

#1 
New Member
Join Date: Jul 2022
Posts: 6
Rep Power: 2 
Hi,
I am studying on heat transfer with SOR method using Matlab. The code is pretty good for ra=10^3 and ra=10^4. But for ra=10^5 the code is running for hours but never converge. The error is firstly decreasing then increasing and it keep going like this. What could be the problem? Thanks in advance. Last edited by bgm; July 20, 2022 at 19:49. 

July 20, 2022, 16:09 

#2  
Senior Member
Filippo Maria Denaro
Join Date: Jul 2010
Posts: 6,174
Rep Power: 66 
Quote:


July 20, 2022, 16:19 

#3  
New Member
Join Date: Jul 2022
Posts: 6
Rep Power: 2 
Quote:
but i can not understand how come the others (at lower rayleigh) are giving correct results? Last edited by bgm; July 20, 2022 at 19:50. 

July 20, 2022, 16:26 

#4  
Senior Member
Filippo Maria Denaro
Join Date: Jul 2010
Posts: 6,174
Rep Power: 66 
Quote:
How do you check the acceleration factor? The GaussSeidel works at that Reynolds? 

July 20, 2022, 16:40 

#5  
New Member
Join Date: Jul 2022
Posts: 6
Rep Power: 2 
Quote:
As I understand it, you are suggesting that I change the method. 

July 20, 2022, 19:50 

#6 
New Member
Join Date: Jul 2022
Posts: 6
Rep Power: 2 
I wrote Reynolds instead of Rayleigh. Please take in Rayleigh.


July 21, 2022, 12:01 

#7 
Senior Member

You still haven't provided any detail on the method (finite difference, per se, still means nothing), problem, boundary conditions.
In general, high Re and high Ra cases will get harder and harder to converge, until they don't anymore. If you were doing everything correctly, then you would just be catching the higher Ra for which a steady (guessing from your presentation of the facts) solution exists. In general, I have doubts you are doing everything correctly, so you aren't probably catching the exact Ra for which the solution becomes unsteady, yet the reason for your lack of convergence is roughly/probably the same. 

July 22, 2022, 10:09 

#8  
New Member
Join Date: Jul 2022
Posts: 6
Rep Power: 2 
Quote:
problem: natural convection in square cavity aim: create my own matlab code method: SOR method (gaussseidel) with finite difference discretization boundary conditions: left and right walls are isolated, heated from below the problem i have : my code runs and gives very appropriate results both in meaning graphical and numerical at ra=10^3 and ra=10^4 and it has correct convergence. but when taking ra=10^5 there isn't any convergence my wish: realize and learn my mistake. Is it choosing wrong method or coding the algortihm false? or any other mistakes offer anyone says. i want to run my code correctly. 

July 25, 2022, 07:34 

#9  
Senior Member

Quote:


July 26, 2022, 19:09 

#10  
New Member
Join Date: Jul 2022
Posts: 6
Rep Power: 2 
Quote:


July 27, 2022, 02:38 

#11 
Member
EM
Join Date: Sep 2019
Posts: 47
Rep Power: 5 
Just in case: the gs method is convergent when the matrix for
inversion is diagonally dominant. have u checked this? otherwise you are shooting in the dark. Second, are we to assume that with increasing Ra you also increase the number of grid points in each direction? if you are doing so, then you should be aware that pointrelaxation methods become increasing slow with increasing number of grid points eventually becoming unusuable. This is why multigrid methods were developed. What kinds of grids are you using? Numbers, Stretching etc..? Third, have you checked your converged cases against direct solvers and or with external linear algebra routines? If so, have you also tried doing the nonconvergent one with external direct and iterative solvers? These will give you clue if there is physical reason causing the lack of convergence @ higher Ra. Fourth, plot the the state of the struggling unconverged nonsolution (i assume your problem is 2d) to check for the presence of gravity waves. These are largescale ie the wavelength is comparable to the box you are using as opposed to numerical instabilities that tend to be strong at grid scale. you have got the cfd spirit right: you suspect the numerics before any physical reason. people that use ready software tend to jump straight into physical explanations. also, the same convergence difficulties show up in the sideheated/cooled rectangular cavities when increasing Ra but in this case the physical reason is well known: the core flow develops stable stratification giving rise to unsteady gravity waves at the BruntVaisala frequency. I have come across (and ignored) a number of plane channel bottomheated dns publications that may be worth looking into for any special physical phenomena that the flow may be developing largescale oscillatory behaviour.  

July 27, 2022, 05:35 

#12  
Senior Member
Filippo Maria Denaro
Join Date: Jul 2010
Posts: 6,174
Rep Power: 66 
Quote:
Again, what you did not understand is the fact that you have to see the property of the matrix resulting from you discretization. That depends also on your linearization. Furthermore, the optimal acceleration parameter depends on the grid size. 

Tags 
convergence failure, heat and mass transfer, matlab, reynolds number, sor 
Thread Tools  Search this Thread 
Display Modes  


Similar Threads  
Thread  Thread Starter  Forum  Replies  Last Post 
decomposePar problem: Cell 0contains face labels out of range  vaina74  OpenFOAM PreProcessing  37  July 20, 2020 06:38 
[snappyHexMesh] Error snappyhexmesh  Multiple outside loops  avinashjagdale  OpenFOAM Meshing & Mesh Conversion  53  March 8, 2019 10:42 
Compressor Simulation using rhoPimpleDyMFoam  Jetfire  OpenFOAM Running, Solving & CFD  107  December 9, 2014 14:38 
DecomposePar unequal number of shared faces  maka  OpenFOAM PreProcessing  6  August 12, 2010 10:01 
Multicomponent fluid  Andrea  CFX  2  October 11, 2004 06:12 