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Structural Health Monitoring of Civil Infrastructure Using Optical Fiber Sensing Technology: A Comprehensive Review

Open access
Ye, X. W., Su, Y. H., Han, J. P.·2014·The Scientific World Journal

Abstract

In the last two decades, a significant number of innovative sensing systems based on optical fiber sensors have been exploited in the engineering community due to their inherent distinctive advantages such as small size, light weight, immunity to electromagnetic interference (EMI) and corrosion, and embedding capability. A lot of optical fiber sensor-based monitoring systems have been developed for continuous measurement and real-time assessment of diversified engineering structures such as bridges, buildings, tunnels, pipelines, wind turbines, railway infrastructure, and geotechnical structures. The purpose of this review article is devoted to presenting a summary of the basic principles of various optical fiber sensors, innovation in sensing and computational methodologies, development of novel optical fiber sensors, and the practical application status of the optical fiber sensing technology in structural health monitoring (SHM) of civil infrastructure.

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Metadata

Authors
Ye, X. W., Su, Y. H., & Han, J. P.
Venue
The Scientific World Journal
Publisher
Wiley
Published
2014
Volume
2014
Pages
1-11
ISSN
  • 1537-744X (ISSN-L)
  • 2356-6140
OpenAlex
W2030726574
Cited by
293
References
0
FWCI
8.31
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Structural Health Monitoring of Civil Infrastructure Using Optical Fiber Sensing Technology: A Comprehensive Review. https://app.cochat.ai/papers/10.1155/2014/652329
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Ye, X. W., Su, Y. H., & Han, J. P. (2014). Structural Health Monitoring of Civil Infrastructure Using Optical Fiber Sensing Technology: A Comprehensive Review. The Scientific World Journal. https://doi.org/10.1155/2014/652329

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.