A deep learning approach to inverse scattering analyses: Recovering interfacial defects in laminated structures-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A deep learning approach to inverse scattering analyses: Recovering interfacial defects in laminated structures

Published:2023-06 Issue: Volume:314 Page:116985
ISSN:0263-8223
Container-title:Composite Structures
language:en
Short-container-title:Composite Structures

Author:

Junqueira Bernardo Feijó^ORCID,Leiderman Ricardo^ORCID,Castello Daniel Alves^ORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Civil and Structural Engineering,Ceramics and Composites

Reference36 articles.

1. Effective design of submarine pipe-in-pipe using Finite Element Analysis;Wang;Ocean Eng,2018

2. Lateral buckling critical force for submarine pipe-in-pipe pipelines;Zhang;Appl Ocean Res,2018

3. Bio-inspired incorporation of functionalized graphene oxide into carbon nanotube fibers for their efficient mechanical reinforcement;Kim;Compos Sci Technol,2019

4. Defect identification in composite materials via thermography and deep learning techniques;Bang;Compos Struct,2020

5. Adhesion enhancement and damage protection for carbon fiber-reinforced polymer (CFRP) composites via silica particle coating;Kim;Composites A,2018

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. Buckling Analysis of Thin-Walled Structures Based on Trace Theory: A Simple and Efficient Approach for Mechanical Characterization of GFRP Members;Journal of Composites for Construction;2024-12

2. Physics-constrained deep learning approach for solving inverse problems in composite laminated plates;Composite Structures;2024-11

3. Damage recovery in composite laminates through deep learning from acoustic scattering of guided waves;Ultrasonics;2024-04

4. Deep Learning Regression as a Surrogate to Inverse Problems for Damage Recovery in Wave Propagation Analysis;2024

5. Damage Recovery in Composite Laminates Through Deep Learning from Acoustic Scattering of Guided Waves;2023

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