Low-Velocity Impact Damage Assessment of CFRP Laminates: A Hybrid Approach with nonlinear Guided Waves and Deep Quantum Neural Networks

This thesis aims to provide a framework for technique selection for new researchers in the field of structural health monitoring. Furthermore, this thesis focuses on investigating impact damage in carbon-fiber reinforced polymer composites using numerical and experimental methods, and employing an optimization enables deep learning model.