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 …

Digital twin (DT), aiming to characterise behaviors of physical entities by leveraging the
virtual replica in real time, is an emerging technology and paradigm at the forefront of the …

To solve the difficulties in extracting general features of few-shot high-dimensional structural
health monitoring data and making accurate repair decision, a civil aircraft structural repair …

The paper presents a designed model of maintenance repair and overhaul (MRO) of an
aircraft with a predictive maintenance unit. The use of an artificial neural network is provided …

In recent years, various physics-based contact force models have been proposed for
describing contact/impact phenomena in different engineering domains. However …

Recent years saw tremendous developments of data-driven modeling in various
engineering fields. As for the contact modeling between complex surfaces, the utilization of …

Despite the fact that physics-informed neural networks (PINN) have been developed rapidly
in recent years, their inherent spectral bias makes it difficult to approximate multi-frequency …

Experimental measurement and numerical simulation are two typical methods to monitor the
strength variation of structures. However, the former method is difficult to lay sufficient …

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 …

An accurate aircraft dynamic model is essential for the flight control system design and flight
characteristic analysis of tiltrotor unmanned aerial vehicle (UAV). The unique aerodynamic …