Structural Health Monitoring of smart multi-material structures

Laboratoire PIMM, Arts et Métiers

The PostDoc candidate will be in charge of developing a hybrid twins platform merging physics-based and data-driven models for monitoring the in-service life of a smart fan blade.

Among the main objectives, we can highlight the following:
• To elaborate an interactive hybrid twin platform allowing to provide feedback regarding specifications, to assess the smart fan blade performances.
• To develop specific SHM algorithms from damage detection to RUL prediction based on transfer learning method.
• To quantify smart fan blade performances within the aircraft engine and its environment by developing a reduced parametric smart fan blade model that will be included in complex system simulation tools.