Hierarchical DWR Error Estimates for the Navier Stokes Equation: $h$ and $p$ Enrichment
B. Endtmayer, U. Langer, J. P. Thiele, T. Wick

TL;DR
This paper advances multigoal-oriented a posteriori error estimation for the Navier-Stokes equations by incorporating $h$ mesh refinement and $p$ enrichment, demonstrated through numerical examples.
Contribution
It extends previous work by integrating $h$ and $p$ enrichment strategies into the error estimator for improved accuracy.
Findings
Effective $h$ refinement improves local error control.
$p$ enrichment enhances the estimator's precision.
Numerical examples validate the proposed methods.
Abstract
In this work, we further develop multigoal-oriented a posteriori error estimation for the nonlinear, stationary, incompressible Navier-Stokes equations. It is an extension of our previous work [B. Endtmayer, U. Langer, T. Wick: Two-side a posteriori error estimates for the DWR method, , 2019, accepted]. We now focus on mesh refinement and enrichment for the error estimator. These advancements are demonstrated with the help of a numerical example
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Computational Fluid Dynamics and Aerodynamics · Model Reduction and Neural Networks
