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model reduction

Guenhael's picture

Ph.D. Candidate Position on “Characterization of the local mechanical behavior of elastomer materials by instrumented nanoindentation”

One Ph.D. candidate position is available in the Fall 2017 in the Elastomer Research Center (Cermel) at the Laboratory of Mechanics and Rheology (LMR) in the Polytechnic School of the University of Tours in France.

Job description

The aim of this Ph.D. is to extend the comprehension of the local mechanisms involved in elastomer materials, in order to faithfully reproduce their behavior in finite element models. The Ph.D. applicant is expected to carry out both theoretical and experimental work.

karelmatous's picture

A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials

Since the beginning of the industrial age, material performance and design have been in the midst of innovation of many disruptive technologies. Today’s electronics, space, medical, transportation, and other industries are enriched by development, design and deployment of composite, heterogeneous and multifunctional materials. As a result, materials innovation is now considerably outpaced by other aspects from component design to product cycle. In this article, we review predictive nonlinear theories for multiscale modeling of heterogeneous materials.

PhD position / Reduced order modeling and surrogate-based optimization for turbomachinery blade design

THE JOB POSITION HAS BEEN FILLED. PLEASE DO NOT SEND APPLICATION.

Cenaero (http://www.cenaero.be/ ) and ULB-BATir (Université Libre de Bruxelles, Belgium, http://www.ulb.ac.be/smc/) jointly propose a PhD position entitled: "Reduced order modeling and surrogate-based optimization for turbomachinery blade design" (4-year contract).

Julien Yvonnet's picture

Multiscale method with model reduction

Model reduction based on Propper Orthogonal decomposition is widely used in Computational mechanics to reduce the number of degrees of freedom in systems. In the attached papers, we introduced a POD-based model reduction in a multiscale framework to significantly reduce the computations.

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