Iterative coordinate reduction algorithm of flexible multibody dynamics using a posteriori eigenvalue error estimation

Seongji Han, Jin Gyun Kim, Juhwan Choi, Jin Hwan Choi

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Coordinate reduction has been widely used for efficient simulation of flexible multibody dynamics. To achieve the reduction of flexible bodies with reasonable accuracy, the appropriate number of dominant modes used for the reduction process must be selected. To handle this issue, an iterative coordinate reduction strategy is introduced. In the iteration step, more dominant modes of flexible bodies are selected than the ones in the previous step. Among the various methods, the conventional frequency cut-off rule is here considered. As a stop criterion, a novel a posteriori error estimator that can evaluate the relative eigenvalue error between full and reduced flexible bodies is proposed. Through the estimated relative eigenvalue error obtained, the number of dominant modes is automatically selected to satisfy the error tolerance up to the desired mode range. The applicability to the automation process is verified through numerical examples. It is also evaluated that efficient and accurate flexible multibody dynamics simulation is available with the reduced flexible body, generated by the proposed algorithm.

Original languageEnglish
Article number7143
Pages (from-to)1-24
Number of pages24
JournalApplied Sciences (Switzerland)
Volume10
Issue number20
DOIs
Publication statusPublished - 2 Oct 2020

Keywords

  • Component mode synthesis
  • Error estimation
  • Flexible multibody dynamics
  • Model reduction

Fingerprint

Dive into the research topics of 'Iterative coordinate reduction algorithm of flexible multibody dynamics using a posteriori eigenvalue error estimation'. Together they form a unique fingerprint.

Cite this