Comments (3)
Hi @Meerkov,
this is simulation instability. D3Q15 is less accurate and less stable than D3Q19, yet has reduced memory footprint. This is a known phenomenon, and the reason why D3Q19 has been established the default for LBM.
Kind regards,
Moritz
from fluidx3d.
Thanks for the reply. That makes sense.
My understanding is that instability is caused by a cell going below approximately 0.001 in density (based on my own implementation on D2Q9).
I'm curious whether it's possible to recover/correct the instability by adding a small amount of fluid to such cells. I haven't seen that recover mechanism discussed, but I'm still new to LBM. I imagine it would introduce an overhead in order to check every cell for the instability condition.
Do you know whether such a correction mechanism has been explored, or whether it would cause more problems than it solves?
from fluidx3d.
Hi @Meerkov,
yes there is mechanisms to improve stability by trading off accuracy when edge cases are hit, such as clamping values. I'm already clamping velocity to the lattice speed of sound. Similar clamping for density could also be applied. There is no runtime overhead for clamping as it's still memory-bound.
Another method is the subgrid models for simulations at very high Reynolds numbers - in FluidX3D that's Smagorinsky-Lilly subgrid model - these locally increase viscosity to an effective eddy viscosity in grid cells where the shear rate is high. Coincidentally, cells with high shear rate and low viscosity are the source of instability, and increasing viscosity there improves stability a lot.
Kind regards,
Moritz
from fluidx3d.
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