Post-buckling nonlinear static and dynamical analyses of uncertain cylindrical shells and experimental validation

E. Capiez-Lernout, C. Soize, Marc Mignolet

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

The paper presents a complete experimental validation of an advanced computational methodology adapted to the nonlinear post-buckling analysis of geometrically nonlinear structures in presence of uncertainty. A mean nonlinear reduced-order computational model is first obtained using an adapted projection basis. The stochastic nonlinear computational model is then constructed as a function of a scalar dispersion parameter, which has to be identified with respect to the nonlinear static experimental response of a very thin cylindrical shell submitted to a static shear load. The identified stochastic computational model is finally used for predicting the nonlinear dynamical post-buckling behavior of the structure submitted to a stochastic ground motion.

Original languageEnglish (US)
Pages (from-to)210-230
Number of pages21
JournalComputer Methods in Applied Mechanics and Engineering
Volume271
DOIs
StatePublished - Apr 1 2014

Keywords

  • Dynamic post-buckling
  • Experimental identification
  • Geometrical nonlinearities
  • Non-stationary stochastic excitation
  • Static post-buckling
  • Uncertainties

ASJC Scopus subject areas

  • Computational Mechanics
  • Mechanics of Materials
  • Mechanical Engineering
  • Physics and Astronomy(all)
  • Computer Science Applications

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