A Review of Application of Sensing Technology in Structural Health Monitoring for Civil Infrastructure
Zhenchao Guo (),
Clyde Zhengdao Li (),
Dong Su,
Yu Zhen,
Meiqin Xiong and
Shanyang Li
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Zhenchao Guo: Shenzhen University
Clyde Zhengdao Li: Shenzhen University
Dong Su: Shenzhen University
Yu Zhen: Shenzhen University
Meiqin Xiong: Shenzhen University
Shanyang Li: Shenzhen University
A chapter in Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, 2022, pp 1028-1040 from Springer
Abstract:
Abstract Structural Health Monitoring (SHM) is the process of detecting structural damage in engineering structures. The aim of SHM is to improve the safety and reliability of civil infrastructure such as buildings, roads, bridges and other transport networks. In recent years, sensing technologies have been widely applied in the field of SHM of civil infrastructure. However, a critical review on the research development of sensing technologies applied in civil infrastructure is limited. As a supplement to this field, this research collected relevant literatures in database from 2011 to 2021. Bibliometric analysis was adopted for identifying the journal sources, institutions and articles that have been fruitful and influential in this research, and keywords analysis was proposed to determine the types of sensing technologies which are widely used in this domain. The sensing technologies involved in this research mainly include wireless sensor networks (WSN), fibre optics sensing (FOS), computer vision (CV). A critical analysis of the identified technologies is conducted in accordance with their characteristics and applications, including current application status and limitations of sensing technology. Finally, this study provides a comprehensive framework combined with current research fields and future potential research trends based on the analytical review.
Keywords: Civil infrastructure; Sensing technology; Structural health monitoring (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-19-5256-2_80
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DOI: 10.1007/978-981-19-5256-2_80
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