Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.116
Publisher DOI: 10.1007/s00419-006-0013-0
Title: Reducing huge gyroscopic eigenproblems by automated multi-level substructuring
Language: English
Authors: Voß, Heinrich 
Elssel, Kolja 
Keywords: Eigenvalue;AMLS;gyroscopic eigenproblem;substructuring;nonlinear eigenproblem
Issue Date: Jan-2006
Source: Preprint. Published in Archive of Applied Mechanics. November 2006, Volume 76, Issue 3–4, pp 171–179
Part of Series: Preprints des Institutes für Mathematik 
Volume number: 96
Abstract (english): Simulating numerically the sound radiation of a rolling tire requires the solution of a very large and sparse gyroscopic eigenvalue problem. 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 application of AMLS to huge gyroscopic problems and the numerical solution of the AMLS reduction. A numerical example demonstrates the efficiency of AMLS.
URI: http://tubdok.tub.tuhh.de/handle/11420/118
DOI: 10.15480/882.116
Institute: Mathematik E-10 
Type: Preprint (Vorabdruck)
Appears in Collections:Publications (tub.dok)

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