Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.60
Fulltext available Open Access
Title: Solving very large gyroscopic eigenproblems by Automated Multi-Level Substructuring
Language: English
Authors: Voß, Heinrich 
Elssel, Kolja 
Keywords: Eigenwerte;gyroskopysches Eigenwertproblem;Substrukturierung;nichtlineares Eigenwertproblem;Minmax Prinzip;Eigenvalues;AMLS;gyroscopic eigenproblem;substructuring;nonlinear eigenproblem;minmax characterization
Issue Date: Dec-2004
Part of Series: Preprints des Institutes für Mathematik 
Volume number: 85
Abstract (english): 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.
URI: http://tubdok.tub.tuhh.de/handle/11420/62
DOI: 10.15480/882.60
Institute: Mathematik E-10 
Type: Preprint (Vorabdruck)
License: In Copyright In Copyright
Appears in Collections:Publications with fulltext

Files in This Item:
File Description SizeFormat
rep85.pdf387,7 kBAdobe PDFThumbnail
View/Open
Show full item record

Page view(s)

320
Last Week
0
Last month
5
checked on Sep 24, 2020

Download(s)

103
checked on Sep 24, 2020

Google ScholarTM

Check

Note about this record

Export

Items in TORE are protected by copyright, with all rights reserved, unless otherwise indicated.