During the TW in Paris, held in June 2022, it was a real pleasure to attend the SHM classes at CEA List and visit its impressive lab (VR+Ultrasonic, Robot+X-ray, railway SHM, laser, etc.). We also had the opportunity of sharing our research work with the H2020 MSCA-ITN project GW4SHM through poster sessions and communicating interactively with a broad range of SHM researchers in person. Thanks to all for making it possible!
Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials. Particle filter-based hybrid damage prognosis considering measurement bias. Reduction of