Hi Zach,

I tried running your case for couple of outputs and did not experience the odd behaviour in your .vtu file (attachment). However, in your mesh the dimensions are scaled differently. For instance, the cylinder diameter is D=~285, while the values in the .ini file are specified for D=1 used in my mesh.

Cheers,

Niki


On 15/03/17 20:27, Zach Davis wrote:
Hi Niki,

Thanks for the explanation. I’ll look into this method a bit further based on the paper reference you provided. Something seems to be amiss with solution files. I’ve attached the *.pyfrm *.vtu and *.ini files I have generated for this case; though, the mesh is one of my own creation. If someone could explain what’s happening with the *.vtu file based on the *.pyfrm mesh input, then that would be appreciated.

Best Regards,


Pointwise, Inc.         
Zach Davis
Pointwise®, Inc.
Sr. Engineer, Sales & Marketing
213 South Jennings Avenue
Fort Worth, TX 76104-1107

*E*: [email protected] <mailto:[email protected]>
*P*: (817) 377-2807 x1202
*F*: (817) 377-2799

enc










On Mar 15, 2017, at 8:42 AM, Niki Loppi <[email protected] <mailto:[email protected]>> wrote:

Hi Zach,

AC stands for the method of artificial compressibility. Instead of relying on a Poisson based projection, the system is driven towards a divergence free state by introducing artificial pressure waves through the continuity equation. The formulation preserves the hyperbolic nature of the system, but destroys the time accuracy, which is then recovered with dual time stepping. For the ac formulation you can refer to

http://www.sciencedirect.com/science/article/pii/S0021999116001686

The artificial compressibility factor ac-zeta is the coefficient of the fluxes in the continuity equation. This results in characteristics

V + c,  V, V - c,

where c = sqrt(V^2 + ac-zeta) is the pseudo speed of sound. Thus, in the current implementation ac-zeta is the free parameter that is used to downscale the speed of the pseudo-waves to globally reduce the pseudo system stiffness. The parameter is something that one can experiment with, typical values varying from 1.25 - 10 times the freestream velocity. Currently, I am looking into making ac-zeta and pseudo-dt spatially and temporally varying.

The source terms specify a sponge region near the domain edges (|y|>5, x<-5, x>25) to damp the initial pressure wave that is generated when the simulation is started from scratch. Please note that the sponge turns off at t=5 because of the (1 - tanh(1.5*(t - 5.0)))*0.5 coefficient. You can see how the sponge works if you write the solution files before t=5.

The plugin [soln-plugin-pseudostats] is used to output the residual of the pseudo time problem to monitor the divergence. The [soln-plugin-residual] on the other hand computes the "residual" of two consecutive real time steps. The [soln-plugin-fluidforce] plugin can be used with the ac systems.

Coarsening the mesh and increasing the order is something that would be beneficial, especially when using a polynomial multigrid for accelerating the pseudo time problem. P-multigrid should be added in the next release.

Thanks,

Niki





On 14/03/17 23:37, Zach Davis wrote:
Tuesday, 14 March 2017



Peter & Freddie,

I believe the mesh export issue from Pointwise using the PyFR exporter has been resolved in PyFR 1.6. I still seem to have issues running using the OpenCL backend which persistently complains about an invalid workgroup size. It use to work at one point, but something has changed in the intervening releases which is causing problems for me at least. I’ve tried adjusting the values per Freddie’s guidance to no avail. He also suggested a tool that might be helpful in determining the appropriate workgroup size needed for my card. Unfortunately that tool seems to be NVIDIA card specific requiring installation of NVIDIA software that won’t run on my machine. I’m using an AMD card instead, and the tool won’t compile due to missing dependencies. It’s not a pressing matter, but just something that I thought you both might want to be aware of.

Nikki,

I’ve looked over your incompressible 2d-cylinder case, and I was wondering if you could elaborate a bit, or point me to some reference, about how you came up with the source terms you’re using in the input file. It also appears that the [soln-plugin-pseudostats] is used in place of the [soln-plugin-residual] namelist for incompressible cases—is that right? Does the [soln-plugin-fluidforce] namelist still work for the ac-navier-stokes solver? Another question if you don’t mind—what is this artificial compressibility factor, ac-zeta and why is value of 6.0 used? Oh, and what does the ac prefix stand for? Thanks!

I think it would be interesting to see how coarse of a higher-order mesh could be made for this case while increasing the polynomial solution basis such that you essentially recover the linear mesh spacing in each element, and see if you could capture one or more vortices within a single element with any noticeable diffusion over time.

Best Regards,


Pointwise, Inc.         
Zach Davis
Pointwise®, Inc.
Sr. Engineer, Sales & Marketing
213 South Jennings Avenue
Fort Worth, TX 76104-1107

*E*: [email protected] <mailto:[email protected]>
*P*: (817) 377-2807 x1202
*F*: (817) 377-2799


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Niki Andreas Loppi MSc
Postgraduate Researcher
Department of Aeronautics
Imperial College London
South Kensington
London
SW7 2AZ
UK

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