Solving very large gyroscopic eigenproblems by Automated Multi-Level Substructuring

Publikationstyp
Preprint
Date Issued
2004-12
Sprache
English
Author(s)
Voß, Heinrich 
Elssel, Kolja  
Institut
Mathematik E-10  
TORE-DOI
10.15480/882.60
TORE-URI
http://tubdok.tub.tuhh.de/handle/11420/62
Simulating numerically the sound radiation of rolling tires requires the solution of very large and sparse gyroscopic eigenvalue problems. Taking advantage of the automated multi–level substructuring (AMLS) method it can be projected to a much smaller gyroscopic problem, the solution of which however is still quite costly since the eigenmodes are non–real and complex arithmetic is necessary. This paper discusses the numerical solution of the AMLS approximation.
Subjects
Eigenwerte
gyroskopysches Eigenwertproblem
Substrukturierung
nichtlineares Eigenwertproblem
Minmax Prinzip
Eigenvalues
AMLS
gyroscopic eigenproblem
substructuring
nonlinear eigenproblem
minmax characterization
DDC Class
510: Mathematik
Lizenz
http://rightsstatements.org/vocab/InC/1.0/
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