Delamination damage imaging method of CFRP composite laminate plates based on the sensitive guided wave mode
H Zhang, J Sun, X Rui, S Liu - Composite Structures, 2023 - Elsevier
This research is related to a detection and imaging method of delamination damage in
CFRP composite laminate structures. Conventional guided wave detection methods often …
CFRP composite laminate structures. Conventional guided wave detection methods often …
[HTML][HTML] Full wavefield processing by using FCN for delamination detection
A novel full wavefield processing method by using fully convolutional neural networks is
presented. The full wavefield of propagating Lamb waves in the fibre-reinforced composite …
presented. The full wavefield of propagating Lamb waves in the fibre-reinforced composite …
Deep learning approach for delamination identification using animation of Lamb waves
The complex design of composite structures makes it very difficult for conventional visual
inspection techniques to detect defects in these materials. Therefore, numerous types of …
inspection techniques to detect defects in these materials. Therefore, numerous types of …
[HTML][HTML] Multi step structural health monitoring approaches in debonding assessment in a sandwich honeycomb composite structure using ultrasonic guided waves
This paper aims to investigate the use of ultrasonic guided wave (GW) propagation
mechanism and the assessment of debonding in a sandwich composite structure (SCS) …
mechanism and the assessment of debonding in a sandwich composite structure (SCS) …
Self-reference broadband local wavenumber estimation (SRB-LWE) for defect assessment in composites
J Segers, S Hedayatrasa, G Poelman… - … Systems and Signal …, 2022 - Elsevier
Local wavenumber estimation (LWE) applied to a full wavefield response is a powerful
approach for detecting and characterizing defects in a composite structure. However, the …
approach for detecting and characterizing defects in a composite structure. However, the …
[HTML][HTML] Global and local area inspection methods in damage detection of carbon fiber composite structures
The paper presents multiple impact damage detections and characterization in a multi-
layered carbon fiber reinforced polymer structure using a multi-step combination of the …
layered carbon fiber reinforced polymer structure using a multi-step combination of the …
Finite element modeling and experimental characterization of piezoceramic frequency steerable acoustic transducers
M Mohammadgholiha, A Palermo… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
This paper presents a novel implementation of Frequency Steerable Acoustic Transducers
(FSATs) for guided waves (GWs) inspections. Unlike the conventional phased array …
(FSATs) for guided waves (GWs) inspections. Unlike the conventional phased array …
Enhanced wavefield imaging method for impact damage detection in composite laminates via laser-generated Lamb waves
F Gao, Y Shao, J Hua, L Zeng, J Lin - Measurement, 2021 - Elsevier
Full wavefield processing techniques are promising for damage detection and imaging.
However, the high measuring requirements in space are labor-consuming. To improve the …
However, the high measuring requirements in space are labor-consuming. To improve the …
[HTML][HTML] Analysis of damage localisation results in GFRP panel for different configurations of air-coupled transducers
T Wandowski, M Radzienski, D Mindykowski, P Kudela - Ultrasonics, 2023 - Elsevier
In this paper results of the damage assessment of fiber-reinforced composite panels using
guided wave propagation phenomenon are presented. For this purpose, non-contact elastic …
guided wave propagation phenomenon are presented. For this purpose, non-contact elastic …
Deep learning based segmentation using full wavefield processing for delamination identification: A comparative study
In this paper, several deep fully convolutional neural networks for image segmentation such
as residual UNet, VGG16 encoder–decoder, FCN-DenseNet, PSPNet, and GCN are …
as residual UNet, VGG16 encoder–decoder, FCN-DenseNet, PSPNet, and GCN are …