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Monte Carlo simulation of gamma-ray distribution around spent nuclear fuel assembly using a fiber-optic Cerenkov radiation sensor

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Abstract

A fiber-optic Cerenkov radiation sensor (FOCRS), which utilizes transparent core of the optical fiber as a sensing material of gamma ray, has been evaluated a feasibility in application of determining radiation release characteristic of spent nuclear fuel by Monte Carlo simulation with GEANT4 simulation toolkit. A simulation model with Westinghouse type 17 × 17 fuel assembly and the FOCRS were constructed with GEANT4 and the nuclide composition of spent nuclear fuel was evaluated with ORIGEN-ARP. The simulation results exhibit that the FOCRS could describe the gamma ray distribution emitted from spent nuclear fuel assembly. The FORCS, therefore, can be used to evaluate gamma ray distribution at extremely radiation environment around the spent nuclear fuel assembly.

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References

  1. Brevard BB, Wagner JC, Parks CV, Aissa M (2009) Review of information for spent nuclear fuel burnup confirmation. U.S. Nuclear Regulatory Commission, NUREG/CR-2998

  2. Rinard PM (1983) Spent fuel cooling curve for safeguard application of gross gamma measurement. Los Alamos National Laboratory, LA-9757-MS

  3. Kuribara M, Nemoto K (1994) Development of new UV-I.I Cerenkov viewing device. IEEE Trans Nucl Sci 41(1):331–335

  4. Chen JD, Gerwing AF, Maxwell R, Larsson M, Axell K, Hildingsson L, Lindberg B, Sundkvist E (2003) Cerenkov characteristics of PWR assemblies using a prototype DCVD with a back-illuminated CCD. CSSP report 2004-01-02, SKI report R-03/46

  5. Shin SH, Jeon D, Jang JS, Jang KW, Yoo WJ, Moon JH, Park BG, Kim S, Lee B (2014) Measurements of longitudinal gamma ray distribution using a multichannel fiber-optic Cerenkov radiation sensor. Meas Sci Technol 25(11):1–6

    Article  CAS  Google Scholar 

  6. Agostinelli S et al (2003) GEANT4-a simulation toolkit. Nucl Instrum Met A 506(3):250–303

    Article  CAS  Google Scholar 

  7. Moon JH, Park BG (2014) Time-dependent radiation release characteristics of irradiated nuclear fuel assemblies in korean nuclear power plants. ATW-Int J Nucl Power 59(2):93–95

    CAS  Google Scholar 

  8. Gauld IC, et al (2006) ORIGEN-ARP: automatic rapid processing for spent fuel depletion, decay, and source term analysis. Oak Ridge National Laboratory, ORNL/TM-2005/39

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Acknowledgements

This work was supported by the National Nuclear R&D Program through National Research Foundation of Korea (NRF) funded by Ministry of Science and ICT (NRF-2017M2A8A4018593).

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Authors and Affiliations

  1. Department of Energy & Environmental Engineering, Soonchunhyang University, 22 Soonchunhyang-ro, Asan, Chungcheongnam-do, 31538, Republic of Korea

    Hwa Jeong Han, Beom Kyu Kim & Byung Gi Park

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  1. Hwa Jeong Han
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  2. Beom Kyu Kim
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  3. Byung Gi Park
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Correspondence to Byung Gi Park.

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Han, H.J., Kim, B.K. & Park, B.G. Monte Carlo simulation of gamma-ray distribution around spent nuclear fuel assembly using a fiber-optic Cerenkov radiation sensor. J Radioanal Nucl Chem 316, 1189–1193 (2018). https://doi.org/10.1007/s10967-018-5785-5

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  • DOI: https://doi.org/10.1007/s10967-018-5785-5

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