2013
DOI: 10.1109/jsen.2013.2256599
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Commissioning and Evaluation of a Fiber-Optic Sensor System for Bridge Monitoring

Abstract: This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract-This paper describes the design, commissioning, and evaluation of a fiber-optic strain sensor system for the structural health monitoring of a prestressed concrete posttensioned box girder railway bridge in Mumbai, India, which shows a number of well-documented structural problems. Preliminary laboratory trials to design the most appropriate sensor system that could be readily transpo… Show more

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Cited by 33 publications
(16 citation statements)
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“…There are several non-invasive methods for detecting structural damage, such as acoustic emission (AE) [10], as mentioned previously, and methods based on optical fibers [11], among others.…”
Section: Emi Technique Backgroundmentioning
confidence: 99%
“…There are several non-invasive methods for detecting structural damage, such as acoustic emission (AE) [10], as mentioned previously, and methods based on optical fibers [11], among others.…”
Section: Emi Technique Backgroundmentioning
confidence: 99%
“…Twenty four strain sensors were divided into three columns, respectively, arranged in the first span bridge bottom 1/4, 1/2, 3/4 points across, each column for a group of eight strain sensors. At the ends of each group, a temperature compensation sensor was installed [7,8]. The wavelength of the sensors in each column was different, connected with each other.…”
Section: Long-term Monitoring Systemmentioning
confidence: 99%
“…As the time on an active bridge was limited, some redundancy was built into the deployed sensors at the centre span (Scott et al, 2013). Additional electrical strain gauges were installed at the end of the box to investigate the possibility of end support restraints -a deviation from the simply supported condition (see Figure 2).…”
Section: Description Of the Bridge And Test Programmementioning
confidence: 99%