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Outputs (4)

Autonomous damage recognition in visual inspection of laminated composite structures using deep learning (2021)
Journal Article

This study proposes the exploitation of deep learning for quantitative assessment of visual detectability of different types of in-service damage in laminated composite structures such as aircraft and wind turbine blades. A comprehensive image-based... Read More about Autonomous damage recognition in visual inspection of laminated composite structures using deep learning.

Achieving robust acoustic emission-based damage characterization of scaled laminated composites under indentation (2021)
Journal Article

This paper presents a novel investigation on the robustness of Acoustic Emission (AE) technique on the characterization of indentation-induced Damage Mechanisms (DMs) in scaled laminated composites. AE is used to monitor a comprehensive series of sca... Read More about Achieving robust acoustic emission-based damage characterization of scaled laminated composites under indentation.