On the impact of boundary conditions on dual consistent finite difference discretizations

Jens Berg, Jan Nordström

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

In this paper we derive well-posed boundary conditions for a linear incompletely parabolic system of equations, which can be viewed as a model problem for the compressible Navier-Stokes equations. We show a general procedure for the construction of the boundary conditions such that both the primal and dual equations are well-posed. The form of the boundary conditions is chosen such that reduction to first order form with its complications can be avoided. The primal equation is discretized using finite difference operators on summation-by-parts form with weak boundary conditions. It is shown that the discretization can be made energy stable, and that energy stability is sufficient for dual consistency. Since reduction to first order form can be avoided, the discretization is significantly simpler compared to a discretization using Dirichlet boundary conditions. We compare the new boundary conditions with standard Dirichlet boundary conditions in terms of rate of convergence, errors and discrete spectra. It is shown that the scheme with the new boundary conditions is not only far simpler, but also has smaller errors, error bounded properties, and highly optimizable eigenvalues, while maintaining all desirable properties of a dual consistent discretization.

Original languageEnglish
Pages (from-to)41-55
Number of pages15
JournalJournal of Computational Physics
Volume236
Issue number1
DOIs
Publication statusPublished - 1 Mar 2013
Externally publishedYes

Keywords

  • Boundary conditions
  • Dual consistency
  • High order finite differences
  • Stability
  • Summation-by-parts
  • Superconvergence

ASJC Scopus subject areas

  • Numerical Analysis
  • Modeling and Simulation
  • Physics and Astronomy (miscellaneous)
  • General Physics and Astronomy
  • Computer Science Applications
  • Computational Mathematics
  • Applied Mathematics

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