Uncertainty Quantification for Nonlinear Reduced-Order Elasto-Dynamics Computational Models

被引：0

作者：

Capiez-Lernout, E. ^{[1
]}

Soize, C. ^{[1
]}

Mbaye, M. ^{[2
]}

机构：

[1] Univ Paris Est, UMR 8208 CNRS, Lab MSME, Marne La Vallee, France

[2] Turbomeca, SAFRAN Grp, Bordes, France

来源：

MODEL VALIDATION AND UNCERTAINTY QUANTIFICATION, VOL 3 | 2016年

关键词：

Mistuning; Geometric nonlinearities; Uncertainties; Reduced-order model; Structural dynamics; CYLINDRICAL-SHELLS;

D O I：

10.1007/978-3-319-29754-5_8

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The present work presents an improvement of a computational methodology for the uncertainty quantification of structures in 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 linear and nonlinear mistuning of an industrial integrated bladed-disk.

引用

页码：83 / 90

页数：8

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