Paper
16 November 2004 Demonstration of the detection of buckling effects in steel pipelines and beams by the Brillouin sensor
Fabien Ravet, Lufan Zou, Xiaoyi Bao, Liang Chen, RongFeng Huang, Heng Aik Khoo
Author Affiliations +
Abstract
Pipeline failures induce costly repair and cleaning spending that could be avoided by the implementation of proactive approaches. Distributed sensors based on Brillouin scattering are attractive candidates to monitor structural health of pipelines. They can measure local strain and allow real-time control over lengths ranging from a few meters to tenths of kilometres. One of the possible degradations that must be detected is buckling. We describe in this paper what is to our knowledge the first time report of buckling detection with a Brillouin sensor. We conducted an experiment reproducing buckling monitoring in a laboratory environment. Two specimens (steel pipeline and beam) were prepared by locally thinning the inner wall to provoke buckling. Fibre was laid along the external walls of the specimens. Strain gauges were glued in thinned wall area. An axial load was applied to the specimens and increased while strain measurements were carried out with the Brillouin sensor and the strain gauges. All the measurements showed a progressive compression increase in the neighbourhood of the thinned wall. Finally buckling aroused and was visually identified as well as localized with the Brillouin sensor. Strain gauges readings and strain measurements with the Brillouin sensor were in good agreement.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fabien Ravet, Lufan Zou, Xiaoyi Bao, Liang Chen, RongFeng Huang, and Heng Aik Khoo "Demonstration of the detection of buckling effects in steel pipelines and beams by the Brillouin sensor", Proc. SPIE 5579, Photonics North 2004: Photonic Applications in Telecommunications, Sensors, Software, and Lasers, (16 November 2004); https://doi.org/10.1117/12.567241
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KEYWORDS
Sensors

Optical fibers

Signal processing

Spatial resolution

Structural health monitoring

Civil engineering

Distributed computing

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