Reduced order models for geometrically nonlinear structures: Assessment of implicit condensation in comparison with invariant manifold approach

Yichang Shen, Natacha Béreux, Attilio Frangi, Cyril Touzé

Research output: Contribution to journalArticlepeer-review

Abstract

A comparison between two methods to derive reduced-order models (ROM) for geometrically nonlinear structures is proposed. The implicit condensation and expansion (ICE) method relies on a series of applied static loadings. From this set, a stress manifold is constructed for building the ROM. On the other hand, nonlinear normal modes rely on invariant manifold theory in order to keep the key property of invariance for the reduced subspaces. When the model coefficients are fully known, the ICE method reduces to a static condensation. However, in the framework of finite element discretization, getting all these coefficients is generally too computationally expensive. The stress manifold is shown to tend to the invariant manifold only when a slow/fast decomposition between master and slave coordinates can be assumed. Another key problem in using the ICE method is related to the fitting procedure when a large number of modes need to be taken into account. A simplified procedure, relying on normal form theory and identification of only resonant monomial terms in the nonlinear stiffness, is proposed and contrasted with the current method. All the findings are illustrated on beams and plates examples.

Original languageEnglish
Article number104165
JournalEuropean Journal of Mechanics, A/Solids
Volume86
DOIs
Publication statusPublished - 1 Mar 2021

Keywords

  • Geometric nonlinearity
  • Implicit condensation and expansion
  • Invariant manifold
  • Model order reduction
  • Nonlinear normal mode

Fingerprint

Dive into the research topics of 'Reduced order models for geometrically nonlinear structures: Assessment of implicit condensation in comparison with invariant manifold approach'. Together they form a unique fingerprint.

Cite this