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Polyhedra:
Nature's answer to meshing So
how is it that honeybees (average brain size 1g) manage to outmesh
the vast majority of CFD engineers (average brain size 1250g)? The
answer is obviously not that bees are more intelligent than engineers
(although there are a few notable exceptions). As
Charles Darwin himself wrote: Biologists have long contended that the honeycomb was the ideal structure for containing the maximum amount of honey while containing the minimum amount of wax, however mathematical proof of this so-called "honeycomb conjecture" was a long time in coming. The conjecture, which has been a subject of mathematical curiosity since the third century AD, wasn't finally proved until June 1999, when Thomas C Hales of the University of Michigan, finally demonstrated conclusively that "a hexagonal grid represents the best way to divide a surface into regions of equal area with the least total perimeter¡± As
good as honeybees might be at meshing in two dimensions, most practical
CFD work requires three-dimensional meshing. (This might offer a
degree of relief to any CFD engineers who are nervous about losing
their job to a swarm of inexpensive meshing bees.) In the same way
as bees benefit from minimizing the amount of wax used in producing
a certain volume of honey, face-addressing CFD solvers benefit from
minimizing the number of faces used in a computational mesh for
a given mesh resolution. [Using faceaddressing, the solver must
loop over all cell faces at every solution level – minimizing
the number of faces obviously has a huge payback in terms of solver
efficiency – see "The Advantage of Polyhedral meshing"
Dynamics 24.] The obvious question is therefore: Which type of mesh has the fewest number of faces per unit volume? Once again nature has the answer... In
1887 Lord Kelvin became intrigued by the packing of bubbles in a
perfect foam – one in which all bubbles had equal volume.
He asked himself "How would bubbles of equal volume pack together,
to give the least possible amount of surface film between them?"
Apart from the obvious benefits of economy, polyhedral meshes provide other advantages too. Because each polyhedral cell has more faces, it also has more neighbors than traditional cell types. A tetrahedral cell communicates with only four neighbor cells, and a hexahedral just six. In both cases this limits the influence of each cell to just a few neighbors. By contrast each polyhedral cell has on average 12 or 14 neighbors. The net result of this is that information propagates much more quickly through a polyhedral mesh, ultimately leading to an increased rate of convergence. In the same way that a polyhedral cell "speaks" to more of its neighbors than other cell types, it also "listens" to information from more of them. Because each polyhedral cell receives information from more of its surroundings, the cell centered values calculated for the cell are more accurate than for other types. The downside? We're not sure that there are any. While a flow fitted hexahedral meshes still offer some advantages, they are difficult and expensive to create (and if you know how to make your mesh truly flow fitted you probably don't need to run the calculation in the first place). Polyhedral meshes can be created at the click of a button and have advantages in efficiency and accuracy. Sometimes nature knows best. |
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