Krylov Subspace Reduced‐Order Modeling Methods for Structural Dynamic Finite Element Systems | Zendy

Tegtmeyer Stefanie | Zendy; Nackenhorst Udo | Zendy

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Krylov Subspace Reduced‐Order Modeling Methods for Structural Dynamic Finite Element Systems

Author(s) -

Tegtmeyer Stefanie,

Nackenhorst Udo

Publication year - 2014

Publication title -

pamm

Language(s) - English

Resource type - Journals

ISSN - 1617-7061

DOI - 10.1002/pamm.201410099

Subject(s) - krylov subspace , finite element method , modal , subspace topology , mathematics , order (exchange) , computer science , decomposition , generalized minimal residual method , model order reduction , mathematical optimization , algorithm , structural engineering , engineering , chemistry , iterative method , artificial intelligence , projection (relational algebra) , finance , organic chemistry , polymer chemistry , economics

Computational resources can be used more efficiently by introducing reduced‐order models, instead of solving large systems of equations of the original model. In this contribution, the Krylov subspace method, a reduced‐order modeling method, is studied and compared to the modal decomposition for a rubber wheel model. (© 2014 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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