A‐priori pole selection for reduced models in vibro‐acoustics

Abstract: Large models of complex dynamic systems can be evaluated efficiently using model order reduction methods. Many techniques, for example the iterative rational Krylov algorithm (IRKA), rely on a set of expansion points chosen before the reduction procedure. The number and location of the expansion points has a major impact on the quality of the resulting reduced model and the convergence of the algorithm. Based on the system's geometry and material, the number of modes in a certain frequency range can be computed using wave equations. This mode count allows the choice of both a reasonable size for the reduced model as well as a reasonable distribution of initial expansion points, which improves the convergence of IRKA. Using the mode count in a specific frequency range, a reduced model approximating the full model only in this frequency range can be generated.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: A‐priori pole selection for reduced models in vibro‐acoustics ; volume:19 ; number:1 ; year:2019 ; extent:2 ; Proceedings in applied mathematics and mechanics ; 19, Heft 1 (2019) (gesamt 2)

Contributors, Places and Time

• Creator: Aumann, Quirin ; Müller, Gerhard

Further information

• DOI: 10.1002/pamm.201900205
• URN: urn:nbn:de:101:1-2022072208020638166785
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:22 AM CEST