Deep learning‐based classification and instance segmentation of leakage‐area and scaling images of shield tunnel linings-Reference-Cited by-同舟云学术

Deep learning‐based classification and instance segmentation of leakage‐area and scaling images of shield tunnel linings

Published:2021-03-21 Issue:6 Volume:28 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Struct Control Health Monit

Author:

Zhao Shuai¹^ORCID,Shadabfar Mahdi²,Zhang Dongming¹^ORCID,Chen Jiayao¹,Huang Hongwei¹

Affiliation:

1. Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education and Department of Geotechnical Engineering Tongji University Shanghai China

2. Department of Civil Engineering Sharif University of Technology Tehran Iran

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2732

Reference56 articles.

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3. Probabilistic assessment for concrete spalling in tunnel structures;Yuan Y;ASCE‐ASME J Risk Uncertain Eng Syst A: Civ Eng,2017

4. Machine vision-based model for spalling detection and quantification in subway networks

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