Quantitative identification of damage in composite structures using sparse sensor arrays and multi-domain-feature fusion of guided waves-Reference-Cited by-同舟云学术

Quantitative identification of damage in composite structures using sparse sensor arrays and multi-domain-feature fusion of guided waves

Published:2023-02 Issue: Volume:208 Page:112482
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Tang Lingquan,Li Yehai,Bao Qiao,Hu Weiwei,Wang Qiang,Su Zhongqing,Yue Dong

Funder

China Postdoctoral Science Foundation

Natural Science Foundation of Jiangsu Province

Postdoctoral Research Foundation of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference42 articles.

1. Unsupervised damage clustering in complex aeronautical composite structures monitored by Lamb waves: An inductive approach;Rahbari;Eng. Appl. Artif. Intel.,2021

2. Structural health monitoring of adhesive joints using Lamb waves: A review;Ramalho;Struct. Control Health Monit.,2021

3. The numerical and experimental investigations for the curing monitoring of woven composites with Lamb waves;Liu;Measurement,2022

4. Automated fatigue damage detection and classification technique for composite structures using Lamb waves and deep autoencoder;Lee;Mech. Syst. Sig. Process.,2022

5. Mechanical degradation of wood under ultraviolet radiation characterized by Lamb wave propagation;Fathi;Struct. Control Health Monit.,2021

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-source dynamic adaptive domain generalization network for crack detection under unknown temperature environment;Measurement;2025-01

2. Omni-directional wavenumber dictionary modified imaging method for orthotropic composites damage detection using ultrasonic guided waves;Thin-Walled Structures;2024-12

3. Multi-stage damage identification method for PC structures based on machine learning driven by piezoelectric singular feature;Engineering Failure Analysis;2024-11

4. An explainable artificial intelligence‐based approach for reliable damage detection in polymer composite structures using deep learning;Polymer Composites;2024-09-13

5. Two-stage residual networks for damage identification and location of stiffened composite panel based on guided waves;NDT & E International;2024-09