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Random matrix theory for modeling uncertainties in computational mechanics
International audience -
About the POD model reduction in computational mechanics for nonlinear contin...
International audience -
Stochastic inverse problem using experiments for uncertain fluid-solid multil...
This communication deals with the experimental identification of the probabilistic model of fluid-solid multilayer systems for which the elasticity tensor of the solid... -
Robust updating from experimental measurements in computational dynamics
In general, deterministic computational models are used for updating a computational model using experiments. However, it is known that uncertainties have to be taken... -
Using an energy method in an uncertain computational vibroacoustic model for ...
An automatic sub-structuring method applicable in the low- and medium-frequency ranges is proposed. This method is developed using a simplified model constructed using... -
Probabilistic modeling of the elasticity tensor random field at the mesoscale...
For some classes of materials, the size of the Representative Volume Element (RVE) can be much larger than the one of the domain typically used in experimental testing... -
Probabilistic model of the geometrical and mechanical properties for nonhomeg...
This dataset has no description
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Effects of uncertainty in friction coefficients on microslip response
Tthe issue of microslip, i.e. the response of two bodies in a frictional contact with one body at least being deformable. In microslip problems, part of the deformable... -
Experimental identification of turbulent fluid forces applied to fuel assembl...
This research is devoted to the identification of stochastic loads applied to fuel assemblies using an uncertain computational model and experimental measurements of... -
Nonparametric stochastic modeling of geometrically nonlinear structural dynam...
The formulation of this nonparametric approach is described first for reduced order models of arbitrary geometrically nonlinear systems. It is then particularize for... -
Reliability analysis of large scale structures using a non-parametric approach
The paper is devoted to the estimation of small failure probabilities, i.e. on the reliability analysis, using the non-parametric model of the large-scale structure.... -
Uncertainty modeling for robust design optimization in computational mechanics
In computational mechanics of complex dynamical systems, robust design consists in finding designs of mechanical systems by solving nonlinear constrained optimization...
