Automatic vortex core detection

Author

Kenwright, David N. ; Haimes, Robert

Author_Institution

MRJ Technol. Solutions, NASA Ames Res. Center, Moffett Field, CA, USA

Volume

18

Issue

4

fYear

1998

Firstpage

70

Lastpage

74

Abstract

This case study presents applications of the eigenvector method to recent aeronautical studies at NASA Ames Research Center and Rensselaer Polytechnic Institute. We highlight its usefulness for detecting flow features such as vortex cores, vortex bursts, spiral vortex breakdowns, and vortex diffusion. The eigenvector method has also been used as a data analysis tool to guide an automatic mesh refinement program and improve the accuracy of a rotorcraft simulation

Keywords

aerodynamics; aerospace computing; aerospace simulation; data analysis; eigenvalues and eigenfunctions; mesh generation; NASA Ames Research Center; Rensselaer Polytechnic Institute; aeronautical studies; automatic vortex core detection; case study; data analysis tool; eigenvector method; mesh refinement; rotorcraft simulation; spiral vortex breakdown; vortex bursts; vortex diffusion; Data mining; Eigenvalues and eigenfunctions; Equations; Finite element methods; Interpolation; Jacobian matrices; Matrix decomposition; Space technology; Vectors; Visualization;

fLanguage

English

Journal_Title

Computer Graphics and Applications, IEEE

Publisher

ieee

ISSN

0272-1716

Type

jour

DOI

10.1109/38.689668

Filename

689668