Joint damage detection of structures with noisy data by an effective deep learning framework using autoencoder-convolutional gated recurrent unit
Author:
Funder
National Foundation for Science and Technology Development
Publisher
Elsevier BV
Subject
Ocean Engineering,Environmental Engineering
Reference51 articles.
1. Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks;Abdeljaber;J. Sound Vib.,2017
2. Vibration-based damage detection of structural joints in presence of uncertainty;Al-Bugharbee,2018
3. Structural damage detection using finite element model updating with evolutionary algorithms: a survey;Alkayem;Neural Comput. Appl.,2018
4. Artificial neural network methods for the solution of second order boundary value problems;Anitescu;Comput. Mater. Contin.,2019
5. A review of vibration-based damage detection in civil structures: From traditional methods to machine learning and deep learning applications;Avci;Mech. Syst. Signal Process.,2021
Cited by 16 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. Damage identification of steel bridge based on data augmentation and adaptive optimization neural network;Structural Health Monitoring;2024-07-25
2. A comprehensive review on health monitoring of joints in steel structures;Smart Materials and Structures;2024-06-19
3. Deep Learning Methods for Vibration-Based Structural Health Monitoring: A Review;Iranian Journal of Science and Technology, Transactions of Civil Engineering;2023-12-11
4. A data-driven based method for damage detection of combining joints and elements of frame structures using noisy incomplete data;Engineering Applications of Artificial Intelligence;2023-11
5. Vibration-based structural health monitoring via deep learning techniques: A review;2023 International Conference on Cyber-Physical Social Intelligence (ICCSI);2023-10-20
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