Prestressed structures are widely employed in bridges and large‐span spatial structures,
and the accurate evaluation of prestress state is of great importance for structural …

Ultra-wideband guided electromagnetic waves have been proposed recently for non-
destructive testing and structural health monitoring applications. However, many possibilities …

Fueled by the rapid development of machine learning (ML) and greater access to cloud
computing and graphics processing units, various deep learning based models have been …

Artificial intelligence (AI) techniques are increasingly used for structural health monitoring
(SHM) of polymer composite structures. However, to be confident in the trustworthiness of AI …

This paper describes a structural health monitoring (SHM) technique for composite
overwrapped pressure vessels (COPVs), which utilizes machine learning (ML) algorithms to …

Monitoring material degradation and in-service damage in fibrous composites at an early
stage is challenging, yet critical for many industrial applications. Second harmonic Lamb …

Concrete is widely used in bridges, tunnels, nuclear power plants and other buildings, the
damage of concrete will bring significant safety hazards for the building, therefore, detecting …

This article presents an innovative damage detection method, named DMS1DCNNs, based
on new dual multiscale one-dimensional convolutional neural networks (MS1DCNNs) and a …

Early detection of delamination in composite materials is crucial to maintaining operational
safety and reducing excessive maintenance costs. Second harmonic Lamb waves have …

Plates with non-uniform thickness, such as stiffened and notched plates, are commonly seen
in engineering applications. Monitoring incipient damage in these structures is crucial to …