Uncertain quantification in nonlinear dynamics with an high-dimensional computational model

For each selected observation, Figure 6 (Config-1) and Figure 7 (Config-2) display the graph of the function ν 7→ db target (2πν ) of the observed target, the graph of the function

All obtained numerical results highlight the potential of the proposed nonparametric stochastic model of model uncertainties to control the statistical fluctuations of the

The parametric-nonparametric (generalized) probabilistic approach of uncertainties is used to perform the prior stochastic models: (1) system-parameters uncertainties induced by

Nowadays, it is well recognized that the predictions in structural dynamics over a broad frequency band by us- ing a computational model, based on the finite element method [3; 4;

It is based on the construction of a Stochastic, Projection-based, Reduced-Order Model (SPROM) associated with a High-Dimensional Model (HDM) using three innovative ideas:

In computational dynamics and in computational fluid-structure interaction such as aeroelas- ticity and vibroacoustics, the nonparametric probabilistic approach is an alternative

For the first time, a complete time-domain formulation is proposed, including new results, in computational mechanics for studying the transient response of lin- ear

This paper deals with the dynamical analysis and uncertainty quantification of a mistuned indus- trial rotating integrally bladed disk, for which the operating regime