ECOLE DOCTORALE SI-MMEA (http://simmea.ed.univ-poitiers.fr/)
2016 Doctoral research projects for PhD recruitment
I- General information :
VILLE, LABORATOIRE
Town, Laboratory
Etablissement
Institution
TITRE en français
French title
TITRE en anglais
English title
Directeur(s) de thèse (HDR)
Supervisor(s)
Taux d’encadrement prévu (%)
Supervising rates (%)
Co-encadrant(s)
Co-supervisor(s)
Taux d’encadrement prévu (%)
Supervising rates (%)
Contact pour informations
Contact for information
Compétences requises
Pre requisite
Poitiers (FR) :
P’D1*
P’D2*
P’D3*
Limoges (FR) :
SPCTS*
GEMH*
La Rochelle (FR) :
LaSIE*
UP*
ENSMA*
UL*
ENSCI*
ULR*
MODELISATION NON-LOCALE : INFLUENCE DE LA MORPHOLOGIE DES
DEFAUTS SUR LES GRADIENTS DE PROPRIETES AU SEIND’UN
MATERIAU METALLIQUE.
NON-LOCAL MODELING: INFLUENCE OF THE DEFECTS
MORPHOLOGY ON THE PROPERTIES GRADIENTS IN A METALLIC
MATERIAL.
Nom 1 : Nadot-Martin
Prénom 1 : Carole
% : 40
%:
Nom 2 :
Prénom 2 :
Nom 1 :Naït-Ali
Prénom 1 :
HDR ?
oui
non
Nom 2 :
Prénom 2 :
HDR ?
oui
non
Azdine
% : 60
%:
Nom : Naït-Ali
Tel : +33 (0)5 49 49
Azdine
Email : azdine.nait-ali@ensma.fr
Prénom :
80 98
le (la) candidat(e) recherché(e) doit avoir des compétences
solides en mécanique théorique, en calculs numériques (EF, Matlab) et
mathématiques appliquées à la mécanique.
*Sigle : P’D1, P’D2 et P’D3 : Départements D1, D2 et D3 de l’institut P’ : http://www.pprime.fr/;
SPCTS : http://www.unilim.fr/spcts/; GEMH : http://www.avrul.fr/spip.php?rubrique39; LaSIE :
http://www.univ-larochelle.fr/LaSIE,
UP
http://www.univ-poitiers.fr/,
ENSMA
http://www.ensma.fr/, UL : http://www.unilim.fr/, ENSCI : http://www.ensci.fr/, ULR :
http://www.univ-larochelle.fr/.
II- Description of the 3 year doctoral research project
(please make a complete description of the doctoral research project. Do not forget to mention
when the contrat will start and to give an estimation of the net salary per month)
NON-LOCAL MODELING: INFLUENCE OF THE DEFECTS
MORPHOLOGY ON THE PROPERTIES GRADIENTS IN A
METALLIC MATERIAL
________________________________________________________________
Localisation : Pprime Institut (UPR 3346 CNRS – ISAE-ENSMA – Université de Poitiers), ISAEENSMA, Poitiers, France
Contrat will start in : September 2016
Supervisor(s): Nait-Ali Azdine and Nadot-Martin Carole
___________________________________________________________________________________________________________________________________________________
Context and objective of the project:
The project aims at proposing a non-local approach and associated numerical
implementation in order to model the behavior of a metallic material containing
defects due to the casting process. The model will be used in order to accurately
predict the fatigue indicator involved in a fatigue criterion able to assess the
fatigue life of cast parts used in land or aeronautical transport sectors. The
manufacturing method of this type of materials generates defects with variable
sizes and complex geometries (e.g. shrinkage cavities). Such a complex
morphology induces the presence of properties gradients in the material and
consecutive non-local effects that have a significant role on the damage
mechanisms. A variational modeling will be attempted from microstructural
information obtained by image analysis. It will be first performed in elasticity to
focus solely on the microstructure influence on the behavior before being
extended in a non-linear framework. The main objective of the advanced
modelling will be a better description of the effective behavior of metallic
materials as a function of the morphology and of the spatial distribution of the
defects due to the process.
The first stage of the project will be the construction of a virtual numerical
material, "morphologically equivalent" to the real material studied. The statistical
data necessary for that purpose will be provided thanks to a precise
morphological characterization of the real material with suitable tools. This
morphological analysis will also help to the definition of a Representative
Elementary Volume (REV). Then, a non-local modeling will be proposed to better
understand and / or reproduce the effects of microstructure gradients (due to the
random distribution of defects, thepresence of clusters, etc .... ) on the material
strength and behavior. The aim will be to formulate a gradient model (enhanced)
by scale transition. In contrast to many studies in the literature introducing rather
the non-locality through the phase constitutive laws, , the idea will be here to
introduce the non-locality through the scaling process (variational approach from
microstructural information obtained in the previous stage).