Deep learning-based visual defect-inspection system for reinforced concrete bridge substructure: a case of Thailand’s department of highways-Reference-Cited by-同舟云学术

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Deep learning-based visual defect-inspection system for reinforced concrete bridge substructure: a case of Thailand’s department of highways

Published:2021-05-27 Issue:4 Volume:11 Page:949-965
ISSN:2190-5452
Container-title:Journal of Civil Structural Health Monitoring
language:en
Short-container-title:J Civil Struct Health Monit

Author:

Kruachottikul Pravee,Cooharojananone Nagul,Phanomchoeng Gridsada,Chavarnakul Thira,Kovitanggoon Kittikul,Trakulwaranont Donnaphat

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s13349-021-00490-z.pdf

Reference31 articles.

1. Sullivan G (2018) Global digital transformation on the building and construction sector, Forecast to 2025. North America: Frost & Sullivan.

2. Ismail SA, Bandi S, Maaz ZN (2018) An appraisal into the potential application of big data in the construction industry. Int J Built Environ Sustain. https://doi.org/10.11113/ijbes.v5.n2.274.

3. McRobbie SG, Wright MA, Chan A (2015) Can technology improve routine visual bridge inspections? Proc Inst Civil Eng. 168:197–207. https://doi.org/10.1680/jbren.12.00022

4. Global status report on road safety 2018: Summary (2018) World Health Organization.

5. Brysse D (2010) Non-destructive evaluation of reinforced concrete structures. Woodhead Publishing, Sawston, pp 28–56

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