An Enhanced Hybrid-Level Interface-Reduction Method Combined with an Interface Discrimination Algorithm

Seunghee Cheon, Jaehun Lee

Research output: Contribution to journalArticlepeer-review

Abstract

This study proposes an interface localizing scheme to enhance the performance of the previous hybrid-level interface-reduction method. The conventional component mode synthesis (CMS) only focuses on interior reduction, while the interface is fully retained for convenient synthesis. Thus, various interface-reduction methods have been suggested to obtain a satisfactory size for the reduced systems. Although previous hybrid-level interface-reduction approaches have addressed major issues associated with conventional interface-reduction methods—in terms of accuracy and efficiency through considering partial substructure synthesis—this method can be applied to limited modeling conditions where interfaces and substructures are independently defined. To overcome this limitation, an interface localizing algorithm is developed to ensure an enhanced performance in the conventional hybrid-level interface-reduction method. The interfaces are discriminated through considering the Boolean operation of substructures, and the interface reduction basis is computed at the localized interface level, which is constructed by a partially coupled system. As a result, a large amount of computational resources are saved, achieving the possibility of efficient design modifications at the semi-substructural level.

Original languageEnglish
Article number4867
JournalMathematics
Volume11
Issue number23
DOIs
StatePublished - Dec 2023

Keywords

  • characteristic constraint modes
  • Craig Bampton method
  • hybrid-level interfaces
  • interface reduction
  • parametric component mode synthesis

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