Deep Learning-based delamination assessment of complex composite structures from UGW responses under varying environment KU Leuven
The present research proposal aims towards developing a Deep Learning (DL)-based inverse delamination damage assessment approach in complex industrial composite structures from Ultrasonic Guided Wave (UGW) responses under extreme and varying operating and environmental conditions (temperature, humidity, pressure). The proposal consists of a number of important innovative components, such as a) Developing an efficient model for easy ...