| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Soize, Christian
Université Gustave Eiffel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2023Sensitivity of a granular homogeneous and isotropic second-gradient continuum model with respect to uncertainties
- 2023Sensitivity with respect to uncertainties of a particle-based homogeneous and isotropic second-gradient continuum model
- 2019Stochastic modeling and identification of an hyperelastic constitutive model for laminated compositescitations
- 2016Stochastic continuum modeling of random interphases from atomistic simulations. Application to a polymer nanocompositecitations
- 2015Modélisation stochastique continue et identification inverse d'interphases aléatoires à partir de simulations atomistiques
- 2015Stochastic modeling for statistical inverse identification in mechanics of materials
- 2015Stochastic representations and statistical inverse identification for uncertainty quantification in computational mechanics
- 2013On the statistical dependence for the components of random elasticity tensors exhibiting material symmetry propertiescitations
- 2009Computational elastoacoustics of uncertain complex systems and experimental validation
- 2009Robust updating of computational models with uncertainties for dynamical systems
- 2009Mesoscale probabilistic models for the elasticity tensor of fiber reinforced composites: Experimental identification and numerical aspectscitations
- 2008Inverse problems in stochastic computational dynamics
- 2007Computational elastoacoustics of uncertain complex systems and experimental validation
- 2007Robust updating of computational models with uncertainties for dynamical systems
- 2007A class of tensor-valued random fields for random anisotropic elastic microstructure modeling and stochastic homogenization
- 2006A class of tensor-valued random fields for random anisotropic elastic microstructure modeling and stochastic homogenization
- 2005Vibroacoustics of a cavity coupled with an uncertain composite panel
- 2005Uncertainties in structural dynamics for composite sandwich panels
- 2005Identification et validation expérimentale d'un modèle stochastique des incertitudes en vibroacoustique d'un panneau composite.
- 2005Probabilistic models for computational stochastic mechanics and applications
- 2005Modèle thermomécanique à haute température et à rupture pour les plaques multicouches carton-plâtre-carton soumises au feu. Expériences et simulations numériques
- 2004Uncertainties in structural dynamics for composite sandwich panels
Places of action
| Organizations | Location | People |
|---|
document
Computational elastoacoustics of uncertain complex systems and experimental validation
Abstract
The paper deals with the robustness of uncertain computational elastoacoustic models in low- and medium-frequency ranges. The elastoacoustic system is made up of a heterogeneous viscoelastic structure coupled with an internal acoustic cavity filled with a dissipative acoustic fluid. A reduced mean elastoacoustic model is deduced from the mean finite element model by using the modal approach with the structural modes of the structure and the acoustic modes of the acoustic cavity. Data uncertainties and model uncertainties are taken into account by using a nonparametric probabilistic approach for the structure, for the acoustic cavity and for the vibroacoustic coupling interface. The main objectives of this paper are (1) to present experimental validation of the nonparametric probabilistic approach of model uncertainties and to propose methods to perform the experimental identification of the probabilistic model parameters, (2) to analyze the robustness of computational elastoacoustic models with respect to model and data uncertainties, (3) to study uncertainty propagation through complex elastoacoustic systems. Two experimental configurations are analyzed with the stochastic computational elastoacoustic model. The first experimental configuration is made up of a composite sandwich panel coupled with an acoustic cavity constituted of a simple rigid box. Experimental measurements have been performed for 8 manufactured composite panels. The second experimental configuration is a car made up of a complex heterogeneous structure coupled with a complex acoustic cavity. Experimental measurements have been performed for 22 manufactured cars of the same type with optional extra.