A waveform-based clustering and machine learning method for damage mode identification in CFRP laminates-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A waveform-based clustering and machine learning method for damage mode identification in CFRP laminates

Published:2023-05 Issue: Volume:312 Page:116875
ISSN:0263-8223
Container-title:Composite Structures
language:en
Short-container-title:Composite Structures

Author:

Wang Jie,Zhou Wei^ORCID,Ren Xia-ying,Su Ming-ming,Liu Jia^ORCID

Funder

National Key Research and Development Program of China Stem Cell and Translational Research

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Civil and Structural Engineering,Ceramics and Composites

Reference41 articles.

1. Acoustic emission-based damage characterization of 70 MPa type IV hydrogen composite pressure vessels during hydraulic tests;Liao;Int J Hydrogen Energy,2019

2. A review of artificial neural networks in the constitutive modeling of composite materials;Liu;Compos B Eng,2021

3. A new algorithm for acoustic emission localization and flexural group velocity determination in anisotropic structures;Ciampa;Compos Part A-Appl Sci Manuf,2010

4. Damage mode identification of open hole composite laminates based on acoustic emission and digital image correlation methods;Ozaslan;Compos Struct,2021

5. Damage monitoring of carbon fibre reinforced polymer composites using acoustic emission technique and deep learning;Barile;Compos Struct,2022

Cited by 11 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. Fatigue damage identification based on Kullback-Leibler relative entropy for raw acoustic emission waveform;Mechanical Systems and Signal Processing;2024-11

2. Hybrid machine learning with HHO method for estimating ultimate shear strength of both rectangular and circular RC columns;STEEL COMPOS STRUCT;2024

3. A machine learning-enabled prediction of damage properties for fiber-reinforced polymer composites under out-of-plane loading;Engineering Structures;2024-06

4. A review of artificial intelligence applications in wind turbine health monitoring;International Journal of Sustainable Energy;2024-05-08

5. Acoustic emission detection of filament wound CFRP composite structure damage based on Mel spectrogram and deep learning;Thin-Walled Structures;2024-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3