A data-driven structural damage identification approach using deep convolutional-attention-recurrent neural architecture under temperature variations
Author:
Publisher
Elsevier BV
Subject
Civil and Structural Engineering
Reference46 articles.
1. A comprehensive review of self-powered sensors in civil infrastructure: state-of-the-art and future research trends;Salehi;Eng Struct,2021
2. A review of vibration-based damage detection in civil structures: from traditional methods to Machine Learning and Deep Learning applications;Avci;Mech Syst Sig Process,2021
3. An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group method of data handling surrogate model;Fathnejat;Front Struct Civ Eng,2020
4. A modified teaching–learning optimization algorithm for structural damage detection using a novel damage index based on modal flexibility and strain energy under environmental variations;Ahmadi-Nedushan;Eng Comput,2022
5. Torkzadeh P, Fathnejat H, Ghiasi R. Damage detection of plate-like structures using intelligent surrogate model. Smart Struct Syst 2016;18:1233–50. doi: 10.12989/sss.2016.18.6.1233.
Cited by 24 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. A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India;Artificial Intelligence in Geosciences;2024-12
2. Structural damage classification under varying environmental conditions and unknown classes via open set domain adaptation;Mechanical Systems and Signal Processing;2024-09
3. Damage identification of honeycomb sandwich structures based on Lamb waves and 1D-CNN;Materials Today Communications;2024-08
4. Damage identification of steel bridge based on data augmentation and adaptive optimization neural network;Structural Health Monitoring;2024-07-25
5. A comprehensive study of a long-term creep thermo-mechanical fatigue behavior monitoring of BFRP composite pipeline using electrical capacitance sensors and deep learning algorithm;International Journal of Fatigue;2024-07
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