Polymer composite materials are being increasingly used in primary load-bearing structures
in several advanced industrial fields such as aerospace vessels, railway wagons and mega …

In the era of the 4th industrial revolution of big data, artificial intelligence (AI) is widely used
in each and every field of composite materials which includes design and analysis, material …

Interest in damage mode classification of composite structures by Acoustic Emission (AE)
inspection technique and clustering analysis by machine learning has been increasingly …

Some challenging issues emerge for the health monitoring of composite wind turbine blades
under the intrinsic noise of fatigue loading, including damage mode identification and …

Currently additive manufacturing (AM) faces many challenges related to product quality,
robustness, and reliability, which will hinder its industry-scale applications. Studies of the …

Damage detection of carbon fiber reinforced plastics (CFRP) composites is a challenging
issue owing to their intrinsic high degree of anisotropy with complex failure modes. Data …

The acoustic emission method has been adopted for detection of damage mechanisms in
carbon-fiber-reinforced polymer composite tubes during the three-point bending test. The …

The acoustic emission (AE) is a powerful and potential nondestructive testing method for
structural monitoring in civil engineering. Here, we show how systematic investigation of …

Structural health monitoring of carbon fiber reinforced plastics composite structures based
on deep learning usually builds on black box models for damage detection. However, the …

Abstract Background The use of Acoustic Emission (AE) as a Structural Health Monitoring
(SHM) technique is very attractive thanks to its ability to detect not only damage sources in …