A continuous-mesh optimization technique for piecewise polynomial approximation on tetrahedral grids
Published in 2018 Fluid Dynamics Conference, 2018
Recommended citation: Ajay Rangarajan, Ankit Chakraborty, Georg May, Vit Dolejsi. (2018). "A continuous-mesh optimization technique for piecewise polynomial approximation on tetrahedral grids." 2018 Fluid Dynamics Conference, 2018, 2018-3246.
Building on previous research we present a three-dimensional formulation of a metric- based 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.
Recommended citation: Ajay Rangarajan, Ankit Chakraborty, Georg May, Vit Dolejsi. (2018). "A continuous-mesh optimization technique for piecewise polynomial approximation on tetrahedral grids." 2018 Fluid Dynamics Conference, 2018, 2018-3246.