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Improved eigenvectors for Pulliam-Chaussee diagonalized approximate-factorization algorithm

delete2020-07-01
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PRE
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T
Thomas H. Pulliam *
D
Dennis C. Jespersen
D
Daniel J. Bodony
S
Shreyas Bidadi
DOI:10.1016/j.jcp.2020.109443delete
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Abstract

Abstract

En 中文
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. (C) 2020 Elsevier Inc. All rights reserved.
Keywords:
Computational fluid dynamics
Numerical algorithms
Eigensystems
Aeronautics
Linear algebra
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Journal of Computational Physics cover
Journal of Computational Physics
IF:
3.8
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1.5W
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national aeronautics & space administration (nasa)
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nasa ames research center
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