The work to be done is to reinforce the work started by Alaa Eddine Ennazii, PhD student funded by the ANR SOFITT. It proposes on a larger scale the development of a mechanical behavior model to predict the macroscale response, in particular the deformations. The numerical simulations of hydraulic and mechanical behavior of porous media face a numerical challenge. The difficulty concerns the consideration of the geometric deformations. On a larger scale, an open-pore foam filled with an elastomer can be seen as a deformable porous medium saturated with fluid. Deformation of the porous medium is accompanied by fluid flow, which applies additional stresses to the solid matrix. This coupling between deformation of porous medium and flow, or poroelasticity, has given rise to a very large literature since the pioneering work of Terzaghi and Biot [Terzaghi, 1943; Biot, 1941; Wang, 2000; Coussy, 2003]. However, there are few experiments on model poroelastic systems that allow the fundamental hypotheses to be tested [Scherer, 1996; Hebraud et al., 2000; Dawson et al., 2008]. Moreover, these studies are mainly concerned with the small deformation regime and few have studied the dynamics of highly deformed poroelastic objects, as for the open-pore foam filled with an elastomer. The mechanical behavior model will be developped by using the software COMSOL which has the Porous Media Flow Module in which there are two poroelastic models: Small Strain Poroelasticity and Large Strain Poroelasticity. The starting point for building the model will be the tutorial called biot-poroelasticity-483 available on the website https://www.comsol.fr/model/. The two poroelastic models will be tested with the database on the compression of open-pore foams filled or not with an elastomer.
Research team: CURIOSITY of FTC department of the Institute PPRIME
Institut P', UPR 3346 CNRS - Université de Poitiers - ISAE-ENSMA, Axe CURIOSITY du Département Fluide Thermique Combustion,SP2MI, Bat. H2, 11 Boulevard Marie et Pierre Curie, TSA 51124, 86073 PoitiersCédex 9, France
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CDD Technicien-ne électronicien-ne - 12 Mois - Catégorie B
POST-DOC (M/F) - Control by Machine Learning of bluff body wakes
At the CNRS-Laboratory PPRIME, based at the Futuroscope, this post-doctorate position is part of the French ANR COWAVE program between the laboratories PRISME in Orleans, Pprime in Poitiers, LHEEA in Nantes and the PSA automotive industry. This Post-Doc position concerns the Pprime contribution to the COWAVE project which aims the experimental exploration of closed-loop wake control strategies with mobile flaps in a water tunnel facility. Three-dimensional bluff-body wakes generate pressure drag and side forces and thus contribute significantly to the fuel consumption and pollutant emission of road vehicles. Despite this crucial impact and the numerous attempts to reduce harmful environmental effect of bluff body wakes by flow control it is still unclear what is the most efficient control strategy! In this context, the ANR project COWAVE addresses two fundamental aspects of wake control: - First, what kind of actuators are most efficient? While most closed-loop control strategies use viscous entrainment effects to actuate the shear layers in the wake, the exploitation of pressure forces produced by mobile deflectors could be an interesting alternative to be tested. - Second, for the implementation of closed-loop control, we want to test if control strategies obtained by machine learning techniques allow to obtain better efficiency and robustness than the more classical model-based approaches? The proposed Post-Doc position is part of the French ANR COWAVE program between the laboratories PRISME in Orleans, Pprime in Poitiers, LHEEA in Nantes and the PSA automotive industry. This Post-Doc position concerns the Pprime contribution to the COWAVE project which aims the experimental exploration of closed-loop wake control strategies with mobile flaps in a water tunnel facility. APPLY Follow link / Application Deadline : 12 March 2021 https://bit.ly/3qDG6Ml