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High Spatial Resolution Radiation Detection Using Distributed Fiber Sensing Technique.

Authors :
Zaghloul, Mohamed A. S.
Yan, Aidong
Chen, Rongzhang
Li, Ming-Jun
Flammang, Robert
Heibel, Michael
Chen, Kevin P.
Source :
IEEE Transactions on Nuclear Science. Sep2017, Vol. 64 Issue 9, p2569-2577. 9p.
Publication Year :
2017

Abstract

This paper studies perspectives on using optical fibers and distributed fiber sensing schemes to perform real-time-distributed gamma-ray radiation sensing with high spatial resolution. The radiation-induced optical property changes of aluminum-doped fibers were studied using cobalt-60 sources. The distributed optical loss of the aluminum-doped fiber was characterized using the Rayleigh backscattering optical frequency domain reflectometry (Rayleigh OFDR). The optical loss of unprotected fiber under various gamma dose rates remains linear up to 100 grays (Gy). Using the gamma radiation-sensitive fiber, the localized optical loss measured by the Rayleigh OFDR was used to map the accumulated gamma radiation dosage on the entire surface of the cylinder with a 1-cm spatial resolution. Using electrical cables as a ubiquitous sensor platforms for fiber sensor deployment, this paper explores the potential for multifunctional distributed fiber sensor by integrating distributed fiber temperature and gamma ionizing radiation sensors in electrical cables for multifunctional measurements to improve the safety of nuclear power systems at both the component and system levels. As sensors that can readily be embedded in a wide variety of materials and structures, radiation-sensitive fibers can be low-cost and highly flexible tool to gauge the performance degradation and longevity of materials and components used in the nuclear power systems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189499
Volume :
64
Issue :
9
Database :
Academic Search Index
Journal :
IEEE Transactions on Nuclear Science
Publication Type :
Academic Journal
Accession number :
125207210
Full Text :
https://doi.org/10.1109/TNS.2017.2735546