[HTML][HTML] Machine learning algorithms for delaminations detection on composites panels by wave propagation signals analysis: Review, experiences and results
E Monaco, M Rautela, S Gopalakrishnan… - Progress in Aerospace …, 2024 - Elsevier
Performances are a key concern in aerospace vehicles, requiring safer structures with as
little consumption as possible. Composite materials replaced aluminum alloys even in …
little consumption as possible. Composite materials replaced aluminum alloys even in …
A multimodal gated recurrent unit neural network model for damage assessment in CFRP composites based on Lamb waves and minimal sensing
Carbon fiber-reinforced polymer (CFRP) composites are widely used in aerospace due to
their outstanding mechanical properties. However, composite damage detection and …
their outstanding mechanical properties. However, composite damage detection and …
Ultrasonic lamb wave damage detection of cfrp composites using the bayesian neural network
Composite plates are susceptible to various damages in complex conditions and working
environments, which may reduce the reliability of the structure and threaten equipment and …
environments, which may reduce the reliability of the structure and threaten equipment and …
Validation of a ray-tracing-based guided Lamb wave propagation methodology in aerostructures
F Sánchez Iglesias, A García Serrano… - Structural Health …, 2024 - journals.sagepub.com
Accurate modeling of guided wave propagation is crucial for structural health monitoring
(SHM) systems, where a large amount of information and cases are needed to cover all in …
(SHM) systems, where a large amount of information and cases are needed to cover all in …
Adaptive Weighted Damage Imaging of Lamb Waves Based on Deep Learning
R Shen, Z Zhou, G Xu, S Zhang, C Xu, B Xu… - IEEE Access, 2024 - ieeexplore.ieee.org
The damage imaging method based on Lamb wave beamforming has been widely used in
the field of SHM. The DAS method has a high imaging efficiency, but its ability to suppress …
the field of SHM. The DAS method has a high imaging efficiency, but its ability to suppress …
Ultrasonic rough crack characterisation using time of flight diffraction with self-attention neural network
Time-of-flight diffraction (ToFD) is a widely used ultrasonic non-destructive evaluation
method for locating and characterizing rough defects, with high accuracy in sizing smooth …
method for locating and characterizing rough defects, with high accuracy in sizing smooth …
Lamb mode identification based on lightweight CNN
J Li, A Wang - Nondestructive Testing and Evaluation, 2024 - Taylor & Francis
In this study, a lightweight convolutional neural network (CNN) is employed to identify Lamb
modes. The proposed approach consists of five convolutional and pooling layers, then a …
modes. The proposed approach consists of five convolutional and pooling layers, then a …