In the same section
Automatic Mesh Generation & Advanced Methods
In addition to adaptive optimization and inverse problem solving methods, GAMMA3 has expertise in meshing and remeshing methods of the computational space, intended for the solution of partial differential equations by the Finite Element method or the Finite Volume method. The objective is always to be more efficient, faster and more accurate.
Research topics
Meshing Methodologies
- Anisotropy, variable topology, mobile and deformable geometries
- Higher order elements
Geometrical Modeling
- Topological skeleton, characteristic lines, geometrical support
- Specific geometries (granular structures, composites, …)
- 3D reconstruction and modeling for 3D printing
Advanced Computation and Simulation
- Mutiphysics and multiscales modeling, adaptive computation
- Error estimation, Field interpolation
- Optimization of systems, inverse problem resolution
- Applications in fluid dymamics, solid mechanics, electromagnetics, energetics, material physics
Sino-French Institute of Computing Technology for Advanced Materials (CTAM)
Sino-French Institute of Computing Technology for Advanced Materials (CTAM) is a laboratory between UTT/GAMMA3 and SJTU/SKLMMCs. It focuses on the modelling and simulation for advanced material. The CTAM is supported by advanced modelling technologies and numerical simulation tools in UTT/GAMMA3, and the advanced material preparations technologies and material test in SJTU/SKLMMCs.
Softwares
Technological Platforms
GAMMA3 has two technological platforms. The first one is dedicated to the digitization of 3D objects with several tools in order to produce discrete geometries (point cloud) which are used for simulations. The second platform produces objects from 3D printers and thus simulations. The manufacturing process of hollowed objects with complex shapes is also addressed.
Contact
News
- Best Paper Award pour Mourad Terzi et l'équipe LIST3N de l'UTTJuly 5, 2024Mourad Terzi, docteur et ingénieur de recherche au sein de la chaire Connected Innovation et de l’Unité de Recherche LIST3N (Laboratoire Informatique et Société Numérique), et ses co-auteurs Yassine Ouazene, Alice Yalaoui et Farouk Yalaoui, ont reçu le prix du Best Paper Award pour leur article "Optimizing dynamic pricing problem under multinomial demand models using a convex nonlinear programming approach", présenté lors de la 10e conférence internationale IEEE – IFAC International Conference on Control, Decision and Information Technologies (CODIT2024) qui s’est déroulée du 1er au 4 juillet 2024 à La Valette (Malte).
- Workshop Modélisation Stochastique, Apprentissage et Décision (MSAD)June 21, 2024Le mercredi 3 juillet aura lieu le workshop MSAD. La matinée propose quelques présentations des doctorants de l'axe MSAD, sur divers domaine du machine learning, traitement de signal et d'image et de la statistique.
- 9e conférence internationale sur les écosystèmes d'apprentissage intelligents (SLERD24), les 27 et 28 juin 2024June 5, 2024La 9e conférence internationale sur les écosystèmes d'apprentissage intelligents (Smart Learning Ecosystems and Regional Development - SLERD24) se tiendra en ligne les jeudi 27 et vendredi 28 juin 2024. Cet événement prestigieux,est co-organisé par Ines Di Loreto, enseignante chercheuse à l'Université de technologie de Troyes (UTT) et l'Association for Smart Learning Ecosystems and Regional Development (ASLERD).