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Deep Learning-based delamination assessment of complex composite structures from UGW responses under varying environment

CORDIS · observation · Publication date unknown

Deep Learning-based delamination assessment of complex composite structures from UGW responses under varying environment 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 incorporation of single and multiple interface delamination b) Utilizing a mesh-free method to overcome the drawbacks of finite element method c) Modelling accurate wave-damage interaction under extreme and varying environments d) Constructing a DL-based robust inverse approach to perform effectively under varying structural complexity and o

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recordType

award

status

CLOSED

region

EU

value

175920

unit

EUR