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Automatic model order reduction for vibro‐acoustic problems
Author(s) -
Aumann Quirin,
Müller Gerhard
Publication year - 2021
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.202000243
Subject(s) - reduction (mathematics) , interpolation (computer graphics) , discretization , model order reduction , range (aeronautics) , computer science , process (computing) , algorithm , mathematical optimization , vibration , mathematics , acoustics , artificial intelligence , mathematical analysis , engineering , geometry , physics , projection (relational algebra) , motion (physics) , aerospace engineering , operating system
Numerical models of vibro‐acoustic systems require a fine spatial discretization to be valid also for high frequent vibrations. This results in large models with high memory consumption and a large computational cost. Model order reduction (MOR) methods reduce the size of such problems, allowing an efficient design process. However, the assumptions made prior to the reduction process, e.g. desired size of the reduced model or distribution of expansion points, heavily influence the quality of the reduced models. In this contribution, we investigate interpolation based MOR methods to automatically generate reduced order models of vibro‐acoustic systems valid in a limited frequency range not starting at zero.