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A continuous-mesh optimization technique for piecewise polynomial approximation on tetrahedral grids

Publication at Faculty of Mathematics and Physics |
2018

Abstract

Building on previous research we present a three-dimensional formulation of a metricbased mesh optimization scheme. The intended application area is higher order (discontinuous) Galerkin schemes for convection-diffusion problems.

Ultimately, as in our previous two-dimensional formulation, the aim is to use the method for compressible flow simulation. Similar to the two-dimensional formulation, we combine a local (analytical) optimization of the anisotropy with an ensuing global optimization of the mesh density distribution.

In particular the local optimization of the mesh anisotropy is a non-trivial extension of the two-dimensional case. Both optimization steps are built on a suitable continuous-mesh error estimate.

The scheme is parameter-free, using only the total integrated mesh density as a constraint. We present the derivation of the method, as well as numerical experiments using model problems.