Automatically stable discontinuous Petrov-Galerkin methods for stationary transport problems: Quasi-optimal test space norm

Antti H. Niemi, Nathaniel O. Collier, Victor M. Calo

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

We investigate the application of the discontinuous Petrov-Galerkin (DPG) finite element framework to stationary convection-diffusion problems. In particular, we demonstrate how the quasi-optimal test space norm improves the robustness of the DPG method with respect to vanishing diffusion. We numerically compare coarse-mesh accuracy of the approximation when using the quasi-optimal norm, the standard norm, and the weighted norm. Our results show that the quasi-optimal norm leads to more accurate results on three benchmark problems in two spatial dimensions. We address the problems associated to the resolution of the optimal test functions with respect to the quasi-optimal norm by studying their convergence numerically. In order to facilitate understanding of the method, we also include a detailed explanation of the methodology from the algorithmic point of view.

Original languageEnglish
Pages (from-to)2096-2113
Number of pages18
JournalComputers and Mathematics with Applications
Volume66
Issue number10
DOIs
StatePublished - Dec 2013
Externally publishedYes

Keywords

  • Automatic stabilization technique
  • Convection-dominated diffusion
  • Discontinuous Petrov-Galerkin
  • Finite element method
  • Numerical stability
  • Robustness

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