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Chady Ghnatios

Researcher at Notre Dame University – Louaize

Publications -  70
Citations -  486

Chady Ghnatios is an academic researcher from Notre Dame University – Louaize. The author has contributed to research in topics: Computer science & Parametric statistics. The author has an hindex of 9, co-authored 60 publications receiving 373 citations. Previous affiliations of Chady Ghnatios include École Centrale Paris & École centrale de Nantes.

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Proper Generalized Decomposition based dynamic data-driven control of thermal processes ☆

TL;DR: A novel simulation technique based upon the Proper Generalized Decomposition—PGD is developed, which is able to circumvent the redoubtable curse of dimensionality and is shown to have potentialities in real engineering contexts.
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3D Modeling of squeeze flows occurring in composite laminates

TL;DR: In this paper, the authors analyze the limits of 2D descriptions and justify the necessity of proceeding with 3D descriptions, and employ an advanced discretization technique making use of an efficient in-plane-out-of-plane separated representation of the different fields involved in the model.
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A Simulation App based on reduced order modeling for manufacturing optimization of composite outlet guide vanes

TL;DR: It is shown that several manufacturing settings can be simulated in few seconds with the Simulation App, thus enabling fast process optimization, and the advantages over general-purpose simulation software, in the context of process simulation.
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On the use of model order reduction for simulating automated fibre placement processes

TL;DR: This paper proposes the off-line calculation of rich parametric solutions that can be then explored on-line in real time in order to perform inverse analysis, process optimisation or on-lines simulation-based control of automated fibre placement.
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On the space separated representation when addressing the solution of PDE in complex domains

TL;DR: In this article, the authors analyze two alternative routes for the transformation of a non-separable domain into a fully separable hexahedral domain and then apply a geometrical transformation to transform the real domain into hexahedra in which the model is solved by using a fully separated representation of the unknown field.