Dataset - CKAN

Bayesian inference for the reconstruction of complex flows. Application on NA...

This thesis takes place in the framework of the calibration of low order models from experimental sequences acquired by time resolved PIV around at profil NACA0012...

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Measurement of the 3D turbulent flow field of an annular jet and Proper Ortho...

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Proper Orthogonal Decomposition used for determination of the convection velo...

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Dynamics of large scale structures in turbulent jets with or without the effe...

Résumé Traduit : This thesis is a contribution to the study of turbulence in the near field of a jet exit, with or without swirl. We use an experimental setup which...

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Remarks on the efficiency of POD for model reduction in non-linear dynamics o...

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About the POD model reduction in computational mechanics for nonlinear contin...

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Incompressible Turbulent Flow Reconstruction by the POD technique

With this work, we intend to achieve reduced dynamical models for an incompressible turbulent external flow. The model is constructed from a set of particle image...

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Strong and weak constraint variational assimilations for reduced order fluid ...

[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]SPEE

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POD-Spectral Decomposition for Fluid Flow Analysis and Model Reduction

[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]SPEE

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Combining dual-time particle image velocimetry and proper orthogonal decompos...

This study is an original way to use the proper orthogonal decompostion (POD) in order to establish a low order model of the determinist and random part of a turbulent...

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Investigation and application of reduced-order methods for flows study in hea...

The objective of this thesis is to study the ability of model reduction for investigations of flow-induced vibrations in heat exchangers tube bundle systems.These...

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Experimental characterization of flow unsteadiness in the centerline plane of...

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Development of decoupled numerical scheme in solving dynamical systems on par...

In this thesis, we are interested in parallelization algorithm for solving dynamical systems. Many industrial applications nowadays lead to large systems of huge...

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Model order reduction of quasi-static problems based on POD and PGD approaches

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Model reduction and constitutive law simplification for life time prediction

The fied of the numerical computation is widely spread in the industrial process for complex systems. From the preliminary design to the manufacturing and the...