DOI QR코드

DOI QR Code

Comprehensive Assessment on Risk Factors using Fuzzy Inference in Decommissioning Process

퍼지추론을 이용한 해체공정 중 리스크 요인의 통합 평가

  • Lim, Hyeon Kyo (Department of Safety Engineering, Chungbuk National University) ;
  • Kim, Hyunjung (Department of Safety Engineering, Chungbuk National University)
  • 임현교 (충북대학교 안전공학과) ;
  • 김현정 (충북대학교 안전공학과)
  • Received : 2014.05.30
  • Accepted : 2014.08.19
  • Published : 2014.08.31

Abstract

Decommissioning process of nuclear facilities consist of a sequence of problem solving activities, because there may exist not only working environments contaminated by radiological exposure but also industrial hazards such as fire, explosions, toxic materials, and electrical and physical hazards. Therefore, not a few countries in the world have been trying to develop appropriate counter techniques in order to guarantee safety and efficiency of the process. In spite of that, there still exists neither domestic nor international standard. Unfortunately, however, there are few workers who experienced decommissioning operations a lot in the past. As a solution, it is quite necessary to utilize experts' opinions for risk assessment in decommissioning process. As for an individual hazard factor, risk assessment techniques are getting known to industrial workers with advance of safety technology, but the way how to integrate those results is not yet. This paper aimed to find out an appropriate technique to integrate individual risk assessment results from the viewpoint of experts. Thus, on one hand the whole risk assessment activity for decommissioning operations was modeled as a sequence of individual risk assessment steps which can be classified into two activities, decontamination and dismantling, and on the other, a risk assessment structure was introduced. The whole model was inferred with Fuzzy theory and techniques, and a numerical example was appended for comprehension.

Keywords

References

  1. World Nuclear Association, "http://www.worldnuclear.org", WNA, 2010.
  2. International Atomic Energy Agency, Decommissioning of Nuclear Power Plants and Research Reactors, Standard Safety Series No. WS-G-2.1, IAEA, 1999.
  3. International Atomic Energy Agency, Decommissioning of Facilities using Radioactive Material (WS-R-5), IAEA, 2006.
  4. American Society of Mechanical Engineers, Decommissioning Handbook, ASME, 2004.
  5. U.S. Defence Of Energy, "Statistical Evaluation of DOE D&D Occurrences", DOE/EH-0578, 1998.
  6. K. S. Jeong, D. G. Lee, K. W. Lee, and H. K. Lim, "A Qualitative Identification and Analysis of Hazards, Risks and Operating Procedures for a Decommissioning Safety Assessment of a Nuclear Research Reactor", Annals of Nuclear Energy, 35, pp.1954-1962, 2008. https://doi.org/10.1016/j.anucene.2008.05.008
  7. K. S. Jeong, K. W. Lee, and H. K. Lim, "Risk Assessment on Hazards for Decommissioning Safety of a Nuclear Facility", Annals of Nuclear Energy, 37, pp.1751-1762, 2010. https://doi.org/10.1016/j.anucene.2010.07.002
  8. M.H. Han, Y.B. Lee, E.H. Kim, K.S. Seo, W.T. Hwang, and Y.G. Choi, "Development of a Real-Time Radiological Dose Assessment System", KAERI/RR-1737/96, 1996.
  9. S.G. Kang, "Probabilistic Safety Assessment of Nuclear Power Plants", KEPCO E&C, 2005.
  10. U.S. DOD, System Safety Program Requirements, DC US Department of Defense, MIL-STD-882D.
  11. N. J. Bahr, "System Safety Engineering and Risk Assessment: A Practical Approach", Taylor & Francis, NY, 1997.
  12. M. Bateman, "Tolley's Practical Risk Assessment" Handbook, 5th ed., Elsevier, Oxford, UK, 2006.
  13. The International Nuclear Event (INES) Scale User's Manual, IAEA and OECD/NEA, 2001.
  14. T. L. Saaty, "The Analytic Hierarchy Process", New York, NY: McGraw-Hill, 1980.
  15. T. L. Saaty, "Decision making with the analytic hierarchy process", Int. J. of Services Sciences, 1(1), 2008.
  16. S. N. Sivanandam, S. Sumathi, and S. N. Deepa, "Introduction to Fuzzy Logic using MATLAB", Springer, 2006.
  17. K.H. Lee and G.R. Oh, "Fuzzy Theory and Application", Hongrung Publishing Company, 1991.
  18. D.H. Lee and D. Park, "An Efficient Algorithm for Fuzzy Weight Average," Fuzzy Sets and Systems, 87, pp.39-45, 1997. https://doi.org/10.1016/S0165-0114(96)00027-9