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Outputs (14)

Multivariable signal processing for characterization of failure modes in thin-ply hybrid laminates using acoustic emission sensors (2023)
Journal Article

The aim of this study was to find the correlation between failure modes and acoustic emission (AE) events in a comprehensive range of thin-ply pseudo-ductile hybrid composite laminates when loaded under uniaxial tension. The investigated hybrid lamin... Read More about Multivariable signal processing for characterization of failure modes in thin-ply hybrid laminates using acoustic emission sensors.

Smart hybrid composite sensor technology to enhance the detection of low energy impact damage in composite structures (2023)
Journal Article

This paper introduces novel structural health monitoring (SHM) sensors to improve the detection of low energy impact damage in laminated composites. The sensor is a purposely designed thin-ply hybrid composite, composed of a layer of unidirectional S... Read More about Smart hybrid composite sensor technology to enhance the detection of low energy impact damage in composite structures.

Investigating the fatigue behaviour of quasi-isotropic pseudo-ductile thin-ply carbon/glass epoxy hybrid composites (2022)
Journal Article

This paper investigates the fatigue behaviour of pseudo-ductile Quasi-Isotropic (QI) interlayer hybrids with un-notched and open-hole configurations. Two different types of QI pseudo-ductile hybrids were evaluated; HighC, with carbon to glass thickne... Read More about Investigating the fatigue behaviour of quasi-isotropic pseudo-ductile thin-ply carbon/glass epoxy hybrid composites.

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.