Hybrid Galerkin-machine learning framework for fluid-structure interaction and stability of immersed moving FG-CNTRC microplates under multiphysics effects
This study aims to develop a hybrid Galerkin-machine learning (ML) framework for the rapid and accurate prediction of the vibration characteristics and stability boundaries of bidirectionally moving functionally graded carbon nanotube-reinforced composite (FG-CNTRC) microplates immersed in a confined fluid under co...