A review on guided-ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques

Z Yang, H Yang, T Tian, D Deng, M Hu, J Ma, D Gao… - Ultrasonics, 2023 - Elsevier
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 …

[HTML][HTML] Advancements in fiber-reinforced polymer composite materials damage detection methods: Towards achieving energy-efficient SHM systems

O Ahmed, X Wang, MV Tran, MZ Ismadi - Composites Part B: Engineering, 2021 - Elsevier
The application of fiber-reinforced polymer (FRP) composites is continuously increasing due
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 …

[HTML][HTML] Strain-based delamination prediction in fatigue loaded CFRP coupon specimens by deep learning and static loading data

D Cristiani, F Falcetelli, N Yue, C Sbarufatti… - Composites Part B …, 2022 - Elsevier
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 …

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 …

Impact monitoring of large size complex metal structures based on sparse sensor array and transfer learning

B Zhao, Y Zhang, Q Liu, X Qing - Ultrasonics, 2024 - Elsevier
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 …

[HTML][HTML] Hybrid physics-based and data-driven impact localisation for composite laminates

D **ao, Z Sharif-Khodaei, MH Aliabadi - International Journal of …, 2024 - Elsevier
The current challenges facing data-driven impact localisation methods primarily involve
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 …

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 …

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 …