On 9/9/19 1:57 AM, Richard Schussnig wrote:
> 
> FINALLY, MY QUESTIONS:
> 
> Using the Q1Q1, I would in the end (FSI) need to come up with a space made
>  from Q1 elements with a discontinuity at the interface - which shall be
> realized using different material_id(). - how may I do that other than
> using a FE_DGQ space for the pressure and enforce continuity 'manually'
> through a giant ConstraintMatrix?

That's inefficient, of course :-) I assume that your interface is in the
interior of the domain? In that case, take a look at step-46, where solution
variables only live on certain cells, and are discontinuous at the interface
between the two parts of the domain.


> Using the Q1Q0, the main problem is data transfer and 'node searching' in
> the parallel case - example: the stabilization matrix from cell 16 has
> pressure dof 45 and shares edges or maybe only a single vertex (!) with
> cells with pressure dofs 1 2 3 4 5. The cell matrix for the projection from
> Q0(dc) to Q1(c) is an area-weighted sum of the pressures on the cells
> touching the vertex of the support of the matching bilinear function,
> therefore we get a 6x6 local matrix and entries into all 'touching' cells. 

Yes, you'd have to create a map that for each vertex gives you a list of all 
adjacent cells. I think I recall that there is a function in GridTools for 
this, though.


> Since these cells are not only the direct neighbors of the current cell, 
> things may get complicated quite fast, if we consider the 3d case with
> hanging nodes, but on the other hand side, looping in the element loop over
> all elements again(!) to check the vertex_index() is extremely slow.

Yes, you'd reverse this approach by looping over all vertices first, and then 
in this loop over all adjacent cells.


> Do you know of any better-fitting stabilizations for the Q1Q0 pair? Or do
> you think there are better options around?

Q1-Q1 is a pretty good method, and not very difficult to implement. I'll note 
that Q1-Q0 *sounds* like a good idea, but has a very low convergence rate and 
so will not yield particularly good accuracy if that's what you actually care 
about. Of course, Q2-Q1 is the standard for good reasons.

Best
  W.


-- 
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Wolfgang Bangerth          email:                 [email protected]
                            www: http://www.math.colostate.edu/~bangerth/

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