Fully discrete energy stable high order finite difference methods for hyperbolic problems in deforming domains

Samira Nikkar, Jan Nordström

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

A time-dependent coordinate transformation of a constant coefficient hyperbolic system of equations which results in a variable coefficient system of equations is considered. By applying the energy method, well-posed boundary conditions for the continuous problem are derived. Summation-by-Parts (SBP) operators for the space and time discretization, together with a weak imposition of boundary and initial conditions using Simultaneously Approximation Terms (SATs) lead to a provable fully-discrete energy-stable conservative finite difference scheme. We show how to construct a time-dependent SAT formulation that automatically imposes boundary conditions, when and where they are required. We also prove that a uniform flow field is preserved, i.e. the Numerical Geometric Conservation Law (NGCL) holds automatically by using SBP-SAT in time and space. The developed technique is illustrated by considering an application using the linearized Euler equations: the sound generated by moving boundaries. Numerical calculations corroborate the stability and accuracy of the new fully discrete approximations.

Original languageEnglish
Pages (from-to)82-98
Number of pages17
JournalJournal of Computational Physics
Volume291
DOIs
Publication statusPublished - 5 Jun 2015
Externally publishedYes

Keywords

  • Conservation
  • Convergence
  • Deforming domain
  • Euler equation
  • High order accuracy
  • Initial boundary value problems
  • Numerical geometric conservation law
  • Sound propagation
  • Stability
  • Summation-by-parts operators
  • Well-posed boundary conditions

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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