Context : Adaptive materials are materials with additional properties compared to conventional materials (sensing or actuation in this project with the use of piezoelectric materials). They can thus act directly on their environment and improve the overall properties of the structure in which they are integrated (durability, efficiency, instant response to environmental stimuli). Composites are key materials in many fields (transport, aeronautics, renewable energies, etc.). They meet the need to lighten parts while retaining excellent mechanical properties. The combination of these two technologies has led to the emergence of "super" materials with controllable structural properties: adaptive meta-composites. Adaptive meta-composites feature new, customized properties, developed according to functional specifications.

The proposed PhD work focuses mainly on WP1, with research actions aimed at deploying physics-based numerical intelligence in a systems approach to develop decision support tools for the robust design of adaptive meta-composites taking advantage of multi-scale multiphysics simulations and control strategies.

This PhD is open at FEMTO-ST (Besançon-FR), in close collaboration with LTDS (Ecully), funded by ANR project ASTRIA, with partners SYMME (Chambéry), ICB (Belfort), ROBERVAL (Compiègne), LDTS (Ecully) and FEMTO-ST (Besançon).