System performance assessment of final repository for radioactive wastes using first-order reliability method

被引:3
|
作者
Jong Soon Song [1 ]
Kun Jai Lee [1 ]
机构
[1] Department of Nuclear Engineering, Korea Advanced Inst. of Sci./Tech., 373-1, Kusong-dong, Yusong-gu, Taejon, Korea, Republic of
关键词
First order reliability method - System performance assessment;
D O I
10.1016/0956-053X(92)90034-G
中图分类号
学科分类号
摘要
When a final option for radioactive waste is determined, it is necessary to demonstrate compliance of disposal system chosen with relevant regulations. Considering the large number of physical and chemical factors involved, the complexity of their interrelationships, and long time periods, a system approach is required. A stochastic analysis is also needed to ensure that these regulatory criteria can be met with confidence. Among a variety of models developed to treat the effect of uncertainty on system performance, the first-order reliability method is suggested as an attractive tool to stochastic problems incorporating any amount of probabilistic information. Based on the first-order approximation, the method can give a probability of failure against a preselected target value, and information concerning the sensitivity of the outcome to variations in the input random variables and their statistical moments. In this paper, for reliable prediction of the performance of repository for radioactive wastes, first-order reliability method is applied in treating the parameter uncertainties of predictive models. First, a thickness of canister corrosion and breach time of canister is calculated using a uniform corrosion model, combined with the diffusional transport modeling of radionuclides in the backfill material. Second, a fractional release rate for each radionuclide is derived from the evaluation of the performance of a waste package which consists of canister and backfill material. Third, a cumulative release rate at the accessible environment is obtained by geosphere transport modeling with the source term given as a fractional release rate. The proposed first-order reliability method can be applicable to a full range of problems occurring in radioactive waste management and beyond.
引用
收藏
页码:323 / 335
相关论文
共 50 条
  • [21] Fast Precision Margin with the First-Order Reliability Method
    del Rosario, Zachary
    Iaccarino, Gianluca
    Fenrich, Richard W.
    AIAA JOURNAL, 2019, 57 (11) : 5042 - 5053
  • [22] Reliability analysis in fracture mechanics using the first-order reliability method and Monte Carlo simulation
    Puatatsananon, W.
    Saouma, V. E.
    FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2006, 29 (11) : 959 - 975
  • [23] First-order reliability method for probabilistic liquefaction triggering analysis using CPT
    Juang, CH
    Fang, SY
    Khor, EH
    JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 2006, 132 (03) : 337 - 350
  • [24] Improvement in first-order reliability method using an adaptive chaos control factor
    Roudak, Mohammad Amin
    Shayanfar, Mohsen Ali
    Karamloo, Mohammad
    STRUCTURES, 2018, 16 : 150 - 156
  • [25] First-order reliability analysis of public health risk assessment
    Hamed, MM
    RISK ANALYSIS, 1997, 17 (02) : 177 - 185
  • [26] Chatter reliability of milling system based on first-order second-moment method
    Liu, Yu
    Meng, Lin-lin
    Liu, Kuo
    Zhang, Yi-min
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 87 (1-4): : 801 - 809
  • [27] Chatter reliability of milling system based on first-order second-moment method
    Yu Liu
    Lin-lin Meng
    Kuo Liu
    Yi-min Zhang
    The International Journal of Advanced Manufacturing Technology, 2016, 87 : 801 - 809
  • [28] The first-order time-variant reliability expansion method
    Chen, Weiwei
    Ni, Bingyu
    Tian, Wanyi
    Jiang, Chao
    STRUCTURAL SAFETY, 2024, 109
  • [29] Hybrid particle swarm optimization for first-order reliability method
    Wang, Gang
    Ma, Zhenyue
    COMPUTERS AND GEOTECHNICS, 2017, 81 : 49 - 58
  • [30] First-order third-moment reliability method - Discussion
    Sadovsky, Z
    Pales, D
    STRUCTURAL SAFETY, 1996, 17 (04) : 255 - 257