Hello,
I am trying to implement a postprocessing flux-limiting scheme for a DG
advection problem to eliminate the under/overshoots that appears in the
vicinity of the front. In order to achieve this, I need to iterate over
each mesh element and then on each facet of the element calculate the value
of numerical flux. Based on the sign of this Flux value, a constant
edge-specific alpha is calculated and the new corrected solutions are then
reconstructed for the cell.
In firedrake, Is there any way to iterate over facets of each cell, and
calculate an integral of an expression (e.g, avg(inner(grad(sol,n))) ) on
that facet?
This is how I achieved it in fenics:
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facet_domains = MeshFunction('size_t',mesh,mesh.topology().dim()-1)
dS = Measure('dS', subdomain_data = facet_domains)
elnum = 0
for cell in cells(mesh):
flux=np.zeros(3)
for fct in facets(cell):
flux[fct.index] = assemble( (avg(inner(grad(sol) , n) )
)*dS(fct.index())
print(flux)
.
.
do some operations based on flux[fct.index] values
.
.
elnum += 1
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Regards,
Sarraf