As climate change is exacerbated and existing resources are depleted, the need for
sustainable industries becomes ever so important. Aviation is not an exception. Despite the …

Thanks to the rapid growth of the Industry 4.0 domain and the innovations brought by the
Internet of Things paradigm, Digital Twins (DT) are increasingly gaining momentum in our …

Aircraft structures are exposed to a variety of operational and environmental loads that can
cause structural deformation and fractures. Structural Health Monitoring (SHM) has emerged …

This review paper addresses the critical need for structural prognostics and health
management (SPHM) in aircraft maintenance, highlighting its role in identifying potential …

The present study introduces an artificial neural network (ANN) model coupled with the non-
dominated sorting genetic algorithm (NSGA-II) to establish an advanced model for fatigue …

The mobility applications of laminated composites are constantly expanding due to their
improved mechanical properties and superior strength-to-weight ratio. Such advancements …

Structural health monitoring systems must provide accuracy and robustness in predicting the
structure's health using the minimum intervention to ensure commercial viability …

The bionic structure has unique nonlinear properties that can effectively broaden the energy
harvesting band. Currently, this energy harvesting device lacks adjustability and adaptability …

This paper proposed an Acoustic Emission (AE) based Smart Composite Fastener (SCF)
concept for health monitoring of bonded/bolted composite single lap joints. The SCF was …

A convolutional neural network (CNN) model by deep-learning single channel data from a
serpentine carbon nanotube sensor (S-CNT) with gradient distributed CNTs is proposed for …