Automated Multilevel Substructuring for Nonlinear Eigenproblems

Link:
Autor/in:
Verlag/Körperschaft:
Hamburg University of Technology
Erscheinungsjahr:
2005
Medientyp:
Text
Schlagworte:
  • nichtlineares Eigenwertproblem
  • dünnbesetzte Matrizen
  • iterative Projektionsmethode
  • Arnoldi Methode
  • automated multi-level substructuring
  • AMLS
  • nonlinear eigenproblem
  • sparse matrix
  • iterative projection method
  • Arnoldi method
  • 510: Mathematik
  • Nichtlineares Eigenwertproblem
  • Schwach besetzte Matrix
  • Projektionsmethode
  • Iteration
  • 510
  • 65F15:Eigenvalues, eigenvectors
  • 65F15
Beschreibung:
  • In this paper we generalize the automated multi–level substructuring method to certain classes of nonlinear eigenvalue problems which can be partitioned into an essential linear and positive definite pencil and a small residual. The efficiency of the method is demonstrated by numerical examples modeling damped vibrations of a structure with nonproportional damping, a gyroscopic eigenproblem, and a rational eigenproblem governing free vibrations of a fluid–solid structure.
Lizenzen:
  • info:eu-repo/semantics/openAccess
  • http://rightsstatements.org/vocab/InC/1.0/
Quellsystem:
TUHH Open Research

Interne Metadaten
Quelldatensatz
oai:tore.tuhh.de:11420/61