Pipelines for oil distribution may affect the environment when natural disasters such as landslides and earthquakes damage the infrastructures. Besides natural causes, illegal extraction of oil from the pipelines can produce significant environmental damage and sometimes loss of lives from explosions. During the spill, the fuel flow of the main stream theoretically reduces, but this variation is within the normal flow fluctuation and so it is not possible to detect this illegal activity using fuel flow measurements. Transducers based on Fiber Bragg Grating (FBG) sensors are very attractive for pipeline monitoring. In two previous works we proposed a new transducer for increasing the sensitivity of FBG sensors to detect illegal activities on the pipelines (drilling). In fact FBG sensors attached directly on the surface of the pipe are not capable to detect strain variations induced by a drill. This paper reports an update on the experimental results obtained on a real size pipeline and a theoretical study aimed to explain why a surface attached sensor does not work.
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ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 28–30, 2016
Stowe, Vermont, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-5048-0
PROCEEDINGS PAPER
Analysis of FBG Sensors Data for Pipeline Monitoring
Antonio Paolozzi,
Antonio Paolozzi
Sapienza University of Rome, Rome, Italy
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Ferdinando Felli,
Ferdinando Felli
Sapienza University of Rome, Rome, Italy
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Cristian Vendittozzi,
Cristian Vendittozzi
University of Brasilia, Brasília, Brazil
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Claudio Paris,
Claudio Paris
Sapienza University of Rome, Rome, Italy
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Hiroshi Asanuma
Hiroshi Asanuma
Chiba University, Chiba-shi, Japan
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Antonio Paolozzi
Sapienza University of Rome, Rome, Italy
Ferdinando Felli
Sapienza University of Rome, Rome, Italy
Cristian Vendittozzi
University of Brasilia, Brasília, Brazil
Claudio Paris
Sapienza University of Rome, Rome, Italy
Hiroshi Asanuma
Chiba University, Chiba-shi, Japan
Paper No:
SMASIS2016-9260, V001T04A012; 8 pages
Published Online:
November 29, 2016
Citation
Paolozzi, A, Felli, F, Vendittozzi, C, Paris, C, & Asanuma, H. "Analysis of FBG Sensors Data for Pipeline Monitoring." Proceedings of the ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 1: Multifunctional Materials; Mechanics and Behavior of Active Materials; Integrated System Design and Implementation; Structural Health Monitoring. Stowe, Vermont, USA. September 28–30, 2016. V001T04A012. ASME. https://doi.org/10.1115/SMASIS2016-9260
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