Title :
Automatic vortex core detection
Author :
Kenwright, David N. ; Haimes, Robert
Author_Institution :
MRJ Technol. Solutions, NASA Ames Res. Center, Moffett Field, CA, USA
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;
Journal_Title :
Computer Graphics and Applications, IEEE
