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A review on guided-ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques
The development of structural health monitoring (SHM) techniques is of great importance to
improve the structural efficiency and safety. With advantages of long propagation distances …
improve the structural efficiency and safety. With advantages of long propagation distances …
[HTML][HTML] Advancements in fiber-reinforced polymer composite materials damage detection methods: Towards achieving energy-efficient SHM systems
The application of fiber-reinforced polymer (FRP) composites is continuously increasing due
to their superior mechanical properties and the associated weight advantage. However, they …
to their superior mechanical properties and the associated weight advantage. However, they …
Development of machine learning methods for mechanical problems associated with fibre composite materials: A review
M Liu, H Li, H Zhou, H Zhang, G Huang - Composites Communications, 2024 - Elsevier
Fibre composite materials (FCMs) are widely used in the aerospace, military defence, and
engineering manufacturing industries due to their high strength and high modulus …
engineering manufacturing industries due to their high strength and high modulus …
[HTML][HTML] Strain-based delamination prediction in fatigue loaded CFRP coupon specimens by deep learning and static loading data
Abstract Machine learning (ML) methods for the structural health monitoring (SHM) of
composite structures rely on sufficient domain knowledge as they typically demand to extract …
composite structures rely on sufficient domain knowledge as they typically demand to extract …
Advanced deep learning model-based impact characterization method for composite laminates
KC Jung, SH Chang - Composites Science and Technology, 2021 - Elsevier
The aim of this study was to develop a structural health monitoring system for smart
composite structures through the use of signal processing, deep learning algorithms, and …
composite structures through the use of signal processing, deep learning algorithms, and …
Impact monitoring of large size complex metal structures based on sparse sensor array and transfer learning
During aircraft operations, the impact events experienced by the aircraft may cause damage
to the structure, thus posing a safety hazard. Therefore, an accurate determination of where …
to the structure, thus posing a safety hazard. Therefore, an accurate determination of where …
[HTML][HTML] Hybrid physics-based and data-driven impact localisation for composite laminates
The current challenges facing data-driven impact localisation methods primarily involve
accurately localising impacts occurring outside the training impact coverage area …
accurately localising impacts occurring outside the training impact coverage area …
Prediction of puncture key parameters in aramid stab-resistant fabrics based on surface damage images using artificial neural networks
M Liu, S Liu, H Li, H Zhang, G Huang - Composites Science and …, 2024 - Elsevier
Stab-resistant clothing significantly contribute to personal protection. In the field of stab
resistance, traditional methods typically use the known impact conditions to evaluate the …
resistance, traditional methods typically use the known impact conditions to evaluate the …
Omni-scale spatio-temporal attention network for impact localization of sandwich composite panels
Y Zhang, B Yang, S Wang, F Mo, F Bi, Y He - Engineering Applications of …, 2025 - Elsevier
Sandwich composite panels (SCPs) have been widely used in aerospace, shipbuilding, and
other fields due to their excellent flexural rigidity, designability, and other advantages …
other fields due to their excellent flexural rigidity, designability, and other advantages …
Impact location of metal structures based on time–frequency image features and deep residual network
Y Zhang, Z Zhou, X Rui, L Xu, B Li… - Measurement Science …, 2024 - iopscience.iop.org
Impact location detection plays an important role in the structural health monitoring of metal
materials. However, the methods of metal material impact location detection based on …
materials. However, the methods of metal material impact location detection based on …