An Adaptive SDG Method for the Stokes System

  • Eric T. Chung
  • , Jie Du*
  • , Man Chun Yuen
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Staggered grid techniques are attractive ideas for flow problems due to their more enhanced conservation properties. Recently, a staggered discontinuous Galerkin method is developed for the Stokes system. This method has several distinctive advantages, namely high order optimal convergence as well as local and global conservation properties. In addition, a local postprocessing technique is developed, and the postprocessed velocity is superconvergent and pointwisely divergence-free. Thus, the staggered discontinuous Galerkin method provides a convincing alternative to existing schemes. For problems with corner singularities and flows in porous media, adaptive mesh refinement is crucial in order to reduce the computational cost. In this paper, we will derive a computable error indicator for the staggered discontinuous Galerkin method and prove that this indicator is both efficient and reliable. Moreover, we will present some numerical results with corner singularities and flows in porous media to show that the proposed error indicator gives a good performance.

Original languageEnglish
Pages (from-to)766-792
Number of pages27
JournalJournal of Scientific Computing
Volume70
Issue number2
DOIs
StatePublished - 1 Feb 2017
Externally publishedYes

Keywords

  • A-posteriori error estimate
  • Adaptive refinement
  • Error indicator
  • Staggered discontinuous Galerkin method
  • Stokes problem

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