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

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.
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Evangéline Capiez-Lernout, Christian Soize, Marc Mignolet. Post-buckling nonlinear static and dynamical analyses of uncertain cylindrical shells and experimental validation. Computer Methods in Applied Mechanics and Engineering, Elsevier, 2014, 271 (1), pp.210-230. ⟨10.1016/j.cma.2013.12.011⟩. ⟨hal-00922708⟩

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