A computer vision-based crack quantification of reinforced concrete shells using graph theory measures-Reference-Cited by-同舟云学术

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A computer vision-based crack quantification of reinforced concrete shells using graph theory measures

Published:2022-04-18 Issue: Volume: Page:
ISSN:
Container-title:Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2022
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Author:

Bazrafshan Pedram,On Thinh,Ebrahimkhanlou Arvin

Publisher

SPIE

Reference36 articles.

1. Enhancing Civil Infrastructure Resilience with Structural Health Monitoring

2. Human-machine collaboration framework for structural health monitoring and resiliency

3. Review Paper: Health Monitoring of Civil Infrastructure

4. Issues in Infrastructure Health Monitoring for Management

5. Vision-based measurements of deformations and cracks for RC structure tests

Cited by 3 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. Detection of cracking mechanism transition on reinforced concrete shear walls using graph theory;Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVIII;2024-05-09

2. A graph‐based method for quantifying crack patterns on reinforced concrete shear walls;Computer-Aided Civil and Infrastructure Engineering;2023-04-19

3. A virtual-reality framework for graph-based damage evaluation of reinforced concrete structures;Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVII;2023-04-18

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