Nonintrusive structural dynamic reduced order modeling for large deformations: Enhancements for complex structures

Ricardo Perez, X. Q. Wang, Marc Mignolet

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

This paper focuses on the development of nonlinear reduced order modeling techniques for the prediction of the response of complex structures exhibiting "large" deformations, i.e., a geometrically nonlinear behavior, which are nonintrusive, i.e., the structure is originally modeled within a commercial finite element code. The present investigation builds on a general methodology successfully validated in recent years on simpler beam and plate structures by: (i) developing a novel identification strategy of the reduced order model parameters that enables the consideration of the large number of modes (>50 say) that would be needed for complex structures, and (ii) extending a step-by-step strategy for the selection of the basis functions used to represent accurately the displacement field. The above novel developments are successfully validated on the nonlinear static response of a nine-bay panel structure modeled with 96,000 degrees of freedom within Nastran.

Original languageEnglish (US)
Article number031008
JournalJournal of Computational and Nonlinear Dynamics
Volume9
Issue number3
DOIs
StatePublished - Jul 1 2014

Keywords

  • finite elements
  • nonlinear geometric response
  • reduced order modeling

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Applied Mathematics

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