This paper proposes a methodology for taking into consideration uncertainties based on polynomial chaos (PC). The proposed approach is used in order to determine the response of Cu-Al-Zn-Mn shape memory alloy specimen with uncertainties associated to material parameters. The simulation results are obtained by PC method. The proposed method seems to be an efficient probabilistic tool. It is worth mentioning that PC approach is an interesting alternative for the parametric studies. This technique is more efficient compared to MC approach
Numerical solutions of non-linear stochastic thermo-hyperelastic problems at finite strains are addr...
One challenge in the numerical simulation of industrial structures is model validation based on expe...
Variations in material properties, boundary conditions, or the geometry can be expected in most elec...
International audienceThis paper proposes a methodology for taking into consideration uncertainties ...
Shape Memory Alloy (SMA) dynamical systems may exhibit a rich response that can include periodic, qu...
This communication deals with the uncertainty quantification in high dimensional problems. It introd...
AbstractStructural uncertainties greatly influence the dynamic responses of engineering structures. ...
To describe physical problems we often make use of deterministic mathematical models. Typical consti...
© 2015 IEEE. Electrical machines that are produced in mass production suffer from stochastic deviati...
In this two-part paper the problem of evaluating robustness and strength of chaos in thermomechanica...
In this two-part paper the problem of evaluating robustness and strength of chaos in thermomechanica...
This paper deals with the analysis of the dynamic behavior of nonlinear systems subject to probabili...
In this study, we show that stochastic analysis of metal forming process requires both a high precis...
International audienceAssessing the dynamic response of vibrating structures which are described by ...
The uncertainty propagation in mechanical systems through model calculations was analyzed in this ar...
Numerical solutions of non-linear stochastic thermo-hyperelastic problems at finite strains are addr...
One challenge in the numerical simulation of industrial structures is model validation based on expe...
Variations in material properties, boundary conditions, or the geometry can be expected in most elec...
International audienceThis paper proposes a methodology for taking into consideration uncertainties ...
Shape Memory Alloy (SMA) dynamical systems may exhibit a rich response that can include periodic, qu...
This communication deals with the uncertainty quantification in high dimensional problems. It introd...
AbstractStructural uncertainties greatly influence the dynamic responses of engineering structures. ...
To describe physical problems we often make use of deterministic mathematical models. Typical consti...
© 2015 IEEE. Electrical machines that are produced in mass production suffer from stochastic deviati...
In this two-part paper the problem of evaluating robustness and strength of chaos in thermomechanica...
In this two-part paper the problem of evaluating robustness and strength of chaos in thermomechanica...
This paper deals with the analysis of the dynamic behavior of nonlinear systems subject to probabili...
In this study, we show that stochastic analysis of metal forming process requires both a high precis...
International audienceAssessing the dynamic response of vibrating structures which are described by ...
The uncertainty propagation in mechanical systems through model calculations was analyzed in this ar...
Numerical solutions of non-linear stochastic thermo-hyperelastic problems at finite strains are addr...
One challenge in the numerical simulation of industrial structures is model validation based on expe...
Variations in material properties, boundary conditions, or the geometry can be expected in most elec...