A METHOD-OF-LINES FRAMEWORK FOR ENERGY STABLE ARBITRARY LAGRANGIAN-EULERIAN METHODS

Tomas Lundquist, Arnaud G. Malan, Jan Nordström

Research output: Contribution to journalArticlepeer-review

Abstract

We present a novel framework based on semi-bounded spatial operators for analyzing and discretizing initial boundary value problems on moving and deforming domains. This development extends an existing framework for well-posed problems and energy stable discretizations from stationary domains to the general case, including arbitrary mesh motion. In particular, we show that an energy estimate derived in the physical coordinate system is equivalent to a semi-bounded property with respect to a stationary reference domain. The continuous analysis leading up to this result is based on a skew-symmetric splitting of the material time derivative and thus relies on the property of integration-by-parts. Following this, a mimetic energy stable arbitrary Lagrangian-Eulerian framework for semi-discretization is formulated, based on approximating the material time derivative in a way consistent with discrete summation-by-parts. Thanks to the semi-bounded property, a method-of-lines approach using standard explicit or implicit time integration schemes can be applied to march the system forward in time. The same type of stability arguments as for the corresponding stationary domain problem applies, without regard to additional properties such as discrete geometric conservation. As an additional bonus we demonstrate that discrete geometric conservation, in the sense of exact free-stream preservation, can still be achieved in an automatic way with the new framework. However, we stress that this is not necessary for stability.

Original languageEnglish
Pages (from-to)2327-2351
Number of pages25
JournalSIAM Journal on Numerical Analysis
Volume61
Issue number5
DOIs
Publication statusPublished - Oct 2023

Keywords

  • energy stability
  • free-stream preservation
  • moving meshes
  • summation-by-parts

ASJC Scopus subject areas

  • Numerical Analysis
  • Computational Mathematics
  • Applied Mathematics

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