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Review
. 2014:2014:652329.
doi: 10.1155/2014/652329. Epub 2014 Jul 14.

Structural health monitoring of civil infrastructure using optical fiber sensing technology: a comprehensive review

X W Ye  1 , Y H Su  2 , J P Han  2
Affiliations
Review

Structural health monitoring of civil infrastructure using optical fiber sensing technology: a comprehensive review

X W Ye et al. ScientificWorldJournal. 2014.

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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Figures

Figure 1
Figure 1
Measurement principal of FBG sensor.
Figure 2
Figure 2
Measurement principal of EFPI sensor.
Figure 3
Figure 3
Measurement principal of OTDR sensor.
See this image and copyright information in PMC

References

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    1. Ni YQ, Ye XW, Ko JM. Modeling of stress spectrum using long-term monitoring data and finite mixture distributions. Journal of Engineering Mechanics. 2012;138(2):175–183.
    1. Ye XW, Ni YQ, Wong KY, Ko JM. Statistical analysis of stress spectra for fatigue life assessment of steel bridges with structural health monitoring data. Engineering Structures. 2012;45:166–176.
    1. Ye XW, Ni YQ, Wai TT, Wong KY, Zhang XM, Xu F. A vision-based system for dynamic displacement measurement of long-span bridges: algorithm and verification. Smart Structures and Systems. 2013;12(3-4):363–379.
    1. Li HN, Yi TH, Ren L, Li DS, Huo LS. Reviews on innovations and applications in structural health monitoring for infrastructures. Structural Monitoring and Maintenance. 2014;1(1):1–45.

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