Waveform‐based fracture identification of steel beam ends using convolutional neural networks-Reference-Cited by-同舟云学术

Waveform‐based fracture identification of steel beam ends using convolutional neural networks

Published:2021-06-10 Issue:9 Volume:28 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Struct Control Health Monit

Author:

Wang Luyao¹^ORCID,Dang Ji²,Wang Xin³,Shrestha Ashish⁴^ORCID

Affiliation:

1. Technology Service Department AI Team, Photoruction Co., Ltd Tokyo Japan

2. Department of Civil and Environmental Engineering Saitama University Saitama Japan

3. Division of Architecture and Civil Engineering Ashikaga University Tochigi Japan

4. Civil Engineering Department International Division, Hazama Ando Corporation Minato Japan

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2777

Reference36 articles.

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2. SEISMIC RESPONSE OF STEEL FRAMES INCLUDING BRITTLE FRACTURES AT BEAM-ENDS

3. Lessons from damage to steel buildings during the Northridge earthquake

4. Ministry of Education Culture Sports Science and Technology (MEXT) Kyoto University.Research and development on quantification of collapse margin in high‐rise buildings. May2014.

5. Ministry of Education Culture Sports Science and Technology (MEXT) Kyoto University.Research and development on quantification of collapse margin in high‐rise buildings.2016.

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