Abstract
Substructuring methods have been studied since 1960s. The modes of subsystems associated with the lowest frequencies are typically retained. This mode selection rule is largely heuristic. In this paper, we use a moment-matching analysis tool to derive a new mode selection criterion, which is compatible to the one recently derived by Givoli et al using Dirichlet-to-Neumann (DtN) map as an analysis tool. The improvements of the new mode selection criterion are demonstrated by numerical examples from structural dynamics and MEMS simulation.
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Bai, Z., Liao, BS. (2006). Towards an Optimal Substructuring Method for Model Reduction. In: Dongarra, J., Madsen, K., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2004. Lecture Notes in Computer Science, vol 3732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558958_33
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DOI: https://doi.org/10.1007/11558958_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29067-4
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