A review of the research and application of deep learning-based computer vision in structural damage detection-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A review of the research and application of deep learning-based computer vision in structural damage detection

Published:2022-01 Issue:1 Volume:21 Page:1-21
ISSN:1671-3664
Container-title:Earthquake Engineering and Engineering Vibration
language:en
Short-container-title:Earthq. Eng. Eng. Vib.

Author:

Lingxin Zhang,Junkai Shen,Baijie Zhu

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11803-022-2074-7.pdf

Reference127 articles.

1. Abdel-Qader I, Abudayyeh O and Kelly ME (2003), “Analysis of Edge-Eetection Techniques for Crack Identification in Bridges,” Journal of Computing in Civil Engineering, 17(4): 255–263.

2. Alipour M, Harris DK and Miller GR (2019), “Robust Pixel-Level Crack Detection Using Deep Fully Convolutional Neural Networks,” Journal of Computing in Civil Engineering, 33(6): 04019040.

3. Alipour M and Harris DK (2020), “Increasing the Robustness of Material-Specific Deep Learning Models for Crack Detection Across Different Materials,” Engineering Structures, 206: 110157.

4. Atha DJ and Jahanshahi MR (2018), “Evaluation of Deep Learning Approaches Based on Convolutional Neural Networks for Corrosion Detection,” Structural Health Monitoring, 17(5): 1110–1128.

5. Badrinarayanan V, Kendall A and Cipolla R (2017), “Segnet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(12): 2481–2495.

Cited by 46 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. Probabilistic post-earthquake loss measurement for RC framed buildings using crack image analysis;Measurement;2024-10

2. Finite element data-driven deep learning-based tensile failure analysis of precast bridge slab joint;Engineering Failure Analysis;2024-10

3. Convergence of AI and Urban Emergency Responses: Emerging Pathway toward Resilient and Equitable Communities;Applied Sciences;2024-09-06

4. A review on vision-based deep learning techniques for damage detection in bolted joints;Asian Journal of Civil Engineering;2024-08-12

5. Quadcopter-Centric Crack Detection: YAML Algorithm Integration;2024-08-09

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