Improved eigenvectors for Pulliam-Chaussee diagonalized approximate-factorization algorithm

Thomas H. Pulliam, Dennis C. Jespersen, Daniel J. Bodony, Shreyas Bidadi

Research output: Contribution to journalArticlepeer-review

Abstract

The eigensystem of the Pulliam-Chaussee diagonalized form of the approximate-factorization algorithm for the three-dimensional Euler and Navier-Stokes equations is revisited to remove an apparent dimensional inconsistency. The original set of eigenvectors in curvilinear coordinates were derived systematically and has been widely used and referenced. Although mathematically correct, the original eigenvectors for the advected modes appear dimensionally inconsistent and yield a set of matrices with large condition numbers for some flows. A new set of eigenvectors is presented that remove the inconsistency and improves the robustness of the diagonalized scheme.

Original languageEnglish (US)
Article number109443
JournalJournal of Computational Physics
Volume412
DOIs
StatePublished - Jul 1 2020

Keywords

  • Aeronautics
  • Computational fluid dynamics
  • Eigensystems
  • Linear algebra
  • Numerical algorithms

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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