Monte Carlo Simulations of the degradation of the engineered barriers system in the yucca mountain repository using the EBSPA code

被引:0
|
作者
Qin, Z. [1 ]
Shoesmith, D. W. [1 ]
机构
[1] Univ Western Ontario, London, ON N6A 5B7, Canada
关键词
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Based on a probabilistic model previously proposed, a Monte Carlo simulation code (EBSPA) has been developed to predict the lifetime of the engineered barriers system within the Yucca Mountain nuclear waste repository. The degradation modes considered in the EBSPA are general passive corrosion and hydrogen-induced cracking for the drip shield; and general passive corrosion, crevice corrosion and stress corrosion cracking for the waste package. Two scenarios have been simulated using the EBSPA code: (a) a conservative scenario for the conditions thought likely to prevail in the repository, and (b) an aggressive scenario in which the impact of the degradation processes is overstated.
引用
收藏
页码:467 / +
页数:2
相关论文
共 50 条
  • [31] Simulations of the HIE-ISOLDE radio frequency quadrupole cooler and buncher vacuum using the Monte Carlo test particle code Molflow
    Hermann, M.
    Vandoni, G.
    Kersevan, R.
    Babcock, C.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2013, 317 : 488 - 491
  • [32] Lung counting: Evaluation of uncertainties in lung burden estimation arising from a heterogeneous lung deposition using Monte Carlo code simulations
    Kramer, GH
    Burns, LC
    Yiu, S
    RADIATION PROTECTION DOSIMETRY, 1997, 74 (03) : 173 - 182
  • [33] Using Graph Neural Networks in Reinforcement Learning With Application to Monte Carlo Simulations in Power System Reliability Analysis
    Solheim, Oystein Rognes
    Hoverstad, Boye Annfelt
    Korpas, Magnus
    IEEE ACCESS, 2024, 12 : 160175 - 160189
  • [34] Safety Assessment of a UAV CD&R System in High Density Airspace Using Monte Carlo Simulations
    Jenie, Yazdi, I
    van Kampen, Erik-Jan
    Ellerbroek, Joost
    Hoekstra, Jacco M.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (08) : 2686 - 2695
  • [35] Using Graph Neural Networks in Reinforcement Learning with application to Monte Carlo simulations in Power System Reliability Analysis
    Solheim, Øystein Rognes
    Høverstad, Boye Annfelt
    Korpås, Magnus
    TechRxiv, 2023,
  • [36] Monte Carlo simulations of an innovative molecular breast imaging system for the small breast cancer diagnosis using GATE
    Poma, G. E.
    Garibaldi, F.
    Giuliani, F.
    Insero, T.
    Lucentini, M.
    Marcucci, A.
    Musico, P.
    Petta, C.
    Santavenere, F.
    Sutera, C.
    Cisbani, E.
    RADIATION EFFECTS AND DEFECTS IN SOLIDS, 2019, 174 (11-12): : 1008 - 1019
  • [37] High Fidelity Whole Core Reactor Eigenvalue Calculation using the Hybrid Monte Carlo and Deterministic RAPID Code System
    Stroh, Brian
    Al Hajj, Walid
    Haghighat, Alireza
    JOINT INTERNATIONAL CONFERENCE ON SUPERCOMPUTING IN NUCLEAR APPLICATIONS + MONTE CARLO, SNA + MC 2024, 2024, 302
  • [38] COMPARISONS OF THE CALCULATIONS USING DIFFERENT CODES IMPLEMENTED IN MCNPX MONTE CARLO TRANSPORT CODE FOR ACCELERATOR DRIVEN SYSTEM TARGET
    Sarer, Basar
    Sahin, Sumer
    Gunay, Mehtap
    Celik, Yurdunaz
    FUSION SCIENCE AND TECHNOLOGY, 2012, 61 (1T) : 302 - 307
  • [39] Calculation of maximum release rates in alternative design changes in the thickness of the buffer for the engineered barrier system (EBS) in deep repository by using Amber code
    Malekifarsani, A.
    Skachik, M. A.
    PROGRESS IN NUCLEAR ENERGY, 2009, 51 (02) : 355 - 360
  • [40] SOLANG: A user-friendly code to calculate the geometry factor using Monte Carlo simulations. Application to alpha-particle spectrometry
    Cornejo Diaz, N. A.
    Martin Sanchez, A.
    de la Torre Perez, J.
    APPLIED RADIATION AND ISOTOPES, 2011, 69 (05) : 822 - 824