An Updating Method for Structural Dynamics Models with Uncertainties | Zendy

Béatrice Faverjon | Zendy; Pierre Ladevèze | Zendy; François Louf | Zendy

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An Updating Method for Structural Dynamics Models with Uncertainties

Author(s) -

Béatrice Faverjon,

Pierre Ladevèze,

François Louf

Publication year - 2007

Publication title -

shock and vibration

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.418

H-Index - 45

eISSN - 1875-9203

pISSN - 1070-9622

DOI - 10.1155/2008/906245

Subject(s) - polynomial chaos , estimator , parametric statistics , mathematics , relation (database) , finite element method , computer science , propagation of uncertainty , mathematical optimization , polynomial , algorithm , monte carlo method , data mining , engineering , mathematical analysis , statistics , structural engineering

One challenge in the numerical simulation of industrial structures is model validation based on experimental data. Among the indirect or parametric methods available, one is based on the “mechanical” concept of constitutive relation error estimator introduced in order to quantify the quality of finite element analyses. In the case of uncertain measurements obtained from a family of quasi-identical structures, parameters need to be modeled randomly. In this paper, we consider the case of a damped structure modeled with stochastic variables. Polynomial chaos expansion and reduced bases are used to solve the stochastic problems involved in the calculation of the error

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