Hybrid Probabilistic and Possibilistic Safety Assessment : Methodology and Application(Special Issue on International Conference on Power and Energy System)

Abstract

This paper presents a unified methodology to handle variability and ignorance by using probabilistic and possibilistic techniques respectively. The methodology has been applied to the safety assessment of geological disposal of high-level radioactive waste. Uncertainties associated with scenarios, models and parameters were defined in terms of fuzzy membership functions derived through a series of interviews to the experts, while variability was formulated by means of probability density functions (pdfs) based on available data sets. The exercise demonstrated the applicability of the new methodology and, in particular, its advantage in quantifying uncertainties based on expert opinion and in providing information on the dependence of assessment results on the level of conservatism. In addition, it was shown that sensitivity analysis can identify key parameters contributing to uncertainties associated with results of the overall assessment. The information mentioned above can be utilized to support decision-making and to guide the process of disposal system development and optimization of protection against potential exposure.

Journal

JSME international journal. Ser. B, Fluids and thermal engineering   [List of Volumes]

JSME international journal. Ser. B, Fluids and thermal engineering 45(3), 626-630, 2002-08-15  [Table of Contents]

The Japan Society of Mechanical Engineers

References:  6

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Codes

  • NII Article ID (NAID) :
    110003479085
  • NII NACSIS-CAT ID (NCID) :
    AA10888815
  • Text Lang :
    ENG
  • Article Type :
    ART
  • ISSN :
    13408054
  • NDL Article ID :
    6266008
  • NDL Source Classification :
    ZN11(科学技術--機械工学・工業)
  • NDL Call No. :
    Z53-Y271
  • Databases :
    CJP  NDL  NII-ELS  J-STAGE