Structural vibration-based identification of delamination in CFRP cylinders using complex frequency domain correlation and CNN-Reference-Cited by-同舟云学术

Structural vibration-based identification of delamination in CFRP cylinders using complex frequency domain correlation and CNN

Published:2023-10 Issue: Volume:321 Page:117299
ISSN:0263-8223
Container-title:Composite Structures
language:en
Short-container-title:Composite Structures

Author:

Gu Ran,Li Yue,Zhang Shufeng,Zhu Jialing,Pang Xiaofei,Liu Zekun^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Civil and Structural Engineering,Ceramics and Composites

Reference52 articles.

1. Robust and baseline-free full-field defect detection in complex composite parts through weighted broadband energy mapping of mode-removed guided waves;Segers;Mech Syst Sig Process,2020

2. Vibration signal-based fault diagnosis in complex structures: a beam-like structure approach;Wang;Struct Health Monit,2018

3. Mechanical behavior of damaged laminated composites plates and shells: higher-order shear deformation theories;Tornabene;Compos Struct,2018

4. A two-step method for delamination detection in composite laminates using experience-based learning algorithm;Zheng;Struct Health Monit,2022

5. Characterization of failure mechanisms of composite structures subjected to fatigue dominated by the self-heating effect;Katunin;Compos Struct,2017

Cited by 5 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. An investigation of vibration responses for bolted composite flanged-cylindrical shells considering material and joint nonlinearity;Thin-Walled Structures;2024-11

2. Damage identification for UAV composite propeller blades based on transmissibility probabilistic distance and attention bidirectional temporal convolutional network;Measurement;2024-09

3. Structural Health Monitoring of Laminated Composites Using Lightweight Transfer Learning;Machines;2024-08-25

5. In-Situ Health Monitoring of UAV Composite Propulsion Propeller Blades Based On a Flexible Sensing System;2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou);2023-10-12