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Extension of Tensor-Product Generalized and Dense-Norm Summation-by-Parts Operators to Curvilinear Coordinates

  • David C. Del Rey Fernández*
  • , Pieter D. Boom
  • , Mark H. Carpenter
  • , David W. Zingg
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Methodologies are presented that enable the construction of provably linearly stable and conservative high-order discretizations of partial differential equations in curvilinear coordinates based on generalized summation-by-parts operators, including operators with dense-norm matrices. Specifically, three approaches are presented for the construction of stable and conservative schemes in curvilinear coordinates using summation-by-parts (SBP) operators that have a diagonal norm but may or may not include boundary nodes: (1) the mortar-element approach, (2) the global SBP-operator approach, and (3) the staggered-grid approach. Moreover, the staggered-grid approach is extended to enable the development of stable dense-norm operators in curvilinear coordinates. In addition, collocated upwind simultaneous approximation terms for the weak imposition of boundary conditions or inter-element coupling are extended to curvilinear coordinates with the new approaches. While the emphasis in the paper is on tensor-product SBP operators, the approaches that are covered are directly applicable to multidimensional SBP operators.

Original languageEnglish
Pages (from-to)1957-1996
Number of pages40
JournalJournal of Scientific Computing
Volume80
Issue number3
DOIs
StatePublished - 15 Sep 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019, This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

Keywords

  • Curvilinear coordinates
  • Linear stability
  • Simultaneous approximation terms
  • Summation by parts

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Numerical Analysis
  • General Engineering
  • Computational Theory and Mathematics
  • Computational Mathematics
  • Applied Mathematics

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