RT Journal Article ID 6fa4744e33e6e82f A1 Capiez-Lernout, Evangeline A1 Soize, Christian T1 AN IMPROVEMENT OF THE UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL STRUCTURAL DYNAMICS WITH NONLINEAR GEOMETRICAL EFFECTS JF International Journal for Uncertainty Quantification JO IJUQ YR 2017 FD 2017-02-28 VO 7 IS 1 SP 83 OP 98 K1 geometric nonlinearities K1 uncertainty quantification K1 nonlinear reduced-order model K1 nonlinear structural dynamics AB In this work, we present an improvement of a computational methodology for the uncertainty quantification of structures in the presence of geometric nonlinearities. The implementation of random uncertainties is carried out through the nonparametric probabilistic framework from a nonlinear reduced-order model. With such usual modeling, it is difficult to analyze the influence of uncertainties on the nonlinear part of the operators with respect to its linear counterpart. In order to address this problem, an approach is proposed to take into account uncertainties for both the linear and the nonlinear operators. The methodology is then validated in the context of the nonlinear post-buckling of a cylindrical shell and in the context of a nonlinear mistuned industrial integrated bladed disk. PB Begell House LK https://www.dl.begellhouse.com/journals/52034eb04b657aea,7bd16ae14fe9cbcf,6fa4744e33e6e82f.html