DG on triangular mesh  numerical viscosity
I am implementing discontinuous galerkin code (based on book by Hesthaven& Warburton) for lattice boltzman method (essentially system of linear advection equations). I am using upwind (= Lax–Friedrichs) flux and triangular mesh to solve Liddriven cavity problem. Judging from results, my simulation is killed by numerical viscosity  'real' Re is lower than I set. Preliminary research shows, that it may be caused by upwind flux. Is it true? What other fluxes should I try?
PS: before moving to DG I've implemented finite volume method, and observed the same problem there  upwind flux was too dissipative, I had to use central flux. But as far as I understand, central flux is bad for problems with discontinuities, which I am planning to simulate, so I need another solution. 
Lax–Friedrichs is a very dissipative flux.
Try Roe's flux. Here is a f90 subroutine: http://www.ossanworld.com/cfdbooks/c..._fluxes_v2.f90 which is known to be accurate enough for viscous simulations. gory 
DG is often used with laxfriedrichs flux with very good results for euler equations. The high spatial accuracy of DG means that dissipation terms are small in laxfriedrichs flux. What is the polynomial degree of your basis functions ? If you discuss your equations, and how you choose the dissipation coefficient in laxfriedrichs flux, maybe somebody can give better help.

You should first test that the scheme gives good answers for a pure convection equation, and compare with exact solutions. That will validate your DG scheme. The advection equations are supposed to model viscous solutions in some way since you mentioned liddriven cavity flow problem. You need to study under what conditions they give a good approximation to NS solutions.

I guess DG code is OK, because I get some results for cavity flow. The problem is that in those results flow looks like Reynolds number is lower than I set.

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Ok, I've investigated this problem a bit more and now I am completely confused.
I've read that Godunov flux is the least diffusive flux. My code for Godunov flux: Code:
def godunov_flux(left_val, right_val, ux, uy, nx, ny): 
For a scalar advection equation, many schemes reduce to an identical scheme.
Godunov, Roe, Fluxvectorsplitting, etc., all becomes the same upwind scheme. BTW, this is my understanding of LaxFiredrichs scheme: http://en.wikipedia.org/wiki/Lax%E2%...edrichs_method From your code, it looks like you have an upwind scheme. 
That code was supposed to be for Godunov's exact Rieman solver:
Code:
Godunov(left_u, right_u): LaxFriedrichs flux: LF(left_val, right_val) = 0.5*(f(left_val) + f(right_val)  abs(un)*(right_valleft_val)) which is equal to 0.5*(un*(left_val + right_val)  abs(un)*(right_valleft_val)) = { un*left_val if un < 0 and un*right_val if un is > 0} So LaxFriedrichs flux is also identical to upwind flux. This leaves me with choice of two fluxes: upwind and central. And central becomes unstable at some point while increasing Re, so I am stuck with upwind flux. Is there any other flux that could be used for scalar linear advection, and which produces little numerical dissipation 
Hi, some of the most involved researchers in the DGLBM demonstrated good fluid flow data for the liddriven cavity problem at high Re number; see, for example,
M. Min and T. Lee. A spectralelement discontinuous Galerkin lattice Boltzmann method for nearly incompressible flows. J. Comput. Phys., 230, 245259, 2011. who implemented LaxF. flux... I have implemented the above method for a specific element type...and I obtain good results too at Re=5000, as demonstrated by comparing them with literature data. I suspect that your simulation is dominated by errors due to a high Mach number (what is yours? and Re?), and/ or your code does not have properly implemented one or more building blocks of the method (not the numerical flux). Cheers 
fuser, Thank you! Actually I've already found the problem  turned out it was in my code (wrong handling of one of the sides of triangles).

cool, I am glad you found the code error quickly.
Regards 
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