Estimation of crack width based on shape‐sensitive kernels and semantic segmentation-Reference-Cited by-同舟云学术

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Estimation of crack width based on shape‐sensitive kernels and semantic segmentation

Published:2019-12-30 Issue:4 Volume:27 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Struct Control Health Monit

Author:

Lee Jun S.¹^ORCID,Hwang Sung Ho¹,Choi Il Yoon¹,Choi Yeongtae¹

Affiliation:

1. Advanced Railroad Civil Engineering DivisionKorea Railroad Research Institute Euiwang Si Kyunggi Do Republic of Korea

Funder

Ministry of Science and ICT, Korea

Publisher

Wiley

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2504

Reference43 articles.

1. MOLIT. (2014).Standard of structural design. KDS 14 00 00. 2018. Ministry of Land Infrastructure and Transport Korea.

2. KRNA. (2016).Guidelines of track maintenance. Korea Rail Network Authority.

3. The influence of track irregularities on the running behavior of high-speed trains

4. A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects

5. Pixel-level crack delineation in images with convolutional feature fusion

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