This study presents a comprehensive review of the history of research and development of
different damage-detection methods in the realm of composite structures. Different fields of …

This article aims to provide a general overview of what has been achieved recently in the
scientific community on the manufacturing monitoring and structural health monitoring of …

This paper proposes a Convolutional Neural Network (CNN) based approach for the
classification and prediction of various types of in-plane and through-the-thickness …

Abstract Today, the Structural Health Monitorin (SHM) methodology is the main way to deal
with the detection and identification of damages in a range of engineering sectors, mainly in …

An inherent problem in software engineering is that competing prediction systems have
been found to produce conflicting results. Yet accurate prediction is crucial because the …

Structural health monitoring techniques for composite structures are dependent on the data
acquired from sensors; thus, optimal sensor network design is important to provide adequate …

Frequency-based damage detection techniques have been widely applied to structural
health monitoring. By analysing the changes (shifts) in natural frequencies in a structure with …

This study aims to use the passive and active acoustic-based health monitoring methods for
impact damage assessment of composite structures. To this aim, a Carbon Fiber Reinforced …

Delamination is a frequent failure mode of laminated fiber-reinforced polymer (FRP)
composites structure in aeronautical and other industries, leading to changes in vibration …

Carbon fiber reinforced polymers (CFRPs) have emerged as promising alternatives to
traditional metals and alloys in weight-conscious applications such as aerospace due to …