Verlagslink DOI: 10.1007/s00419-006-0013-0
Titel: Reducing huge gyroscopic eigenproblems by automated multi-level substructuring
Sprache: Englisch
Autor/Autorin: Voß, Heinrich
Elssel, Kolja
Schlagwörter: Eigenvalue;AMLS;gyroscopic eigenproblem;substructuring;nonlinear eigenproblem
Erscheinungsdatum: 2006
Quellenangabe: Preprint. Published in Archive of Applied Mechanics. November 2006, Volume 76, Issue 3–4, pp 171–179
Serie/Report Nr.: Preprints des Institutes für Mathematik; Bericht 96
Zusammenfassung (englisch): 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
URN: urn:nbn:de:gbv:830-opus-1749
DOI: 10.15480/882.116
Institut: Mathematik E-10
Mathematics E-10
Dokumenttyp: Preprint (Vorabdruck)
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