Virtual laboratory for microcracks prediction in refractory materials
| ABG-139393 | Sujet de Thèse | |
| 02/06/2026 | Financement de l'Union européenne |
- Matériaux
- Numérique
Description du sujet
Objectives: To develop digital modelling tools supporting refractory digital twins in order to investigate the
relationships between microstructure, processing routes and thermomechanical performance. The work will combine physics-based approaches and numerical simulations, including thermo-mechanical coupling, damage evolution and anisotropic behaviours. These developments will lead to a virtual digital framework able to provide predictive indicators, virtual testing and decision-support for lifetime and performance assessment, in connection with REFFRACTEUR data architectures. These developments will be integrated to the free DEM software GranOO.
Expected Results: Validation of the digital twin approach against experiments through (i) thermo-mechanical
quantities such as CTE, Young’s modulus, Poisson’s ratio, stress-strain law, fracture energy) and (ii) microcrack
initiation, closure and coalescence under thermo-mechanical loading dynamically observed by SEM/microtomography. A validated virtual lab will provide predictive indicators and virtual tests.
Nature du financement
Précisions sur le financement
Présentation établissement et labo d'accueil
Two host institutions (one academic and one industrial)
Academic host – IRCER (Institute of Research on Ceramics, Limoges, France) is a leading research laboratory in advanced ceramics and high-temperature materials, with expertise spanning microstructure characterization, thermomechanics, durability, and numerical modelling of materials for extreme environments.
Industrial host – Imerys (Lyon, France) is a world leader in mineral-based specialty solutions for industry, developing high-performance refractory materials for demanding applications such as steel, glass, cement, and other high-temperature processes.
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Intitulé du doctorat
Pays d'obtention du doctorat
Etablissement délivrant le doctorat
Profil du candidat
Master’s level in Materials Science and/or Computational Methods in Mechanical Engineering. Excellent skills for numerical method applied to mechanics. A good knowledge in material science and their associated experimental characterisation technics is also expected. Oral and written communication skills (English) are also required. Some experiences in Python and/or C++ programming will be appreciated.
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