• DocumentCode
    1196332
  • Title

    Safety Assessment of Fuel Rods via Generalized Bernoulli Chains

  • Author

    Falk, Michael ; Heins, Lothar ; Wensauer, Andreas

  • Author_Institution
    Inst. of Math., Wurzburg Univ.
  • Volume
    55
  • Issue
    3
  • fYear
    2006
  • Firstpage
    393
  • Lastpage
    396
  • Abstract
    The probabilistic safety assessed to N fuel rods assembled in one core of a nuclear reactor is commonly modelled by the sum of N independent Bernoulli random variables, i.e. 1 or 0, with individual safety probability pi that the i-th rod shows no failure during one cycle, coded by 1. The requirement set by the German Reaktor-Sicherheitskommission (Reactor Safety Commission) demands that the expected number of unfailed rods in the core within one cycle is at least N-1, whereby a confidence level of 0.95 for the verification of this condition is demanded. There is an ongoing debate that this requirement based on an expected value might be a misleading probabilistic safety measure as it does not take into account the accumulated safety probabilities that at least x fuel rods show no failure during one cycle. In this paper we establish a bound for the accumulated safety probability under this safety condition, which implies that with probability greater than 0.98 at least N-3 fuel rods show no failure during one cycle
  • Keywords
    Poisson distribution; approximation theory; fission reactor fuel; fission reactor safety; German Reaktor-Sicherheitskommission; Poisson approximation; fuel rod; generalized Bernoulli chain; nuclear reactor core; probabilistic safety assessment; probability; Assembly; Feeds; Helium; Inductors; Mathematics; Nuclear fuels; Random variables; Safety; Upper bound; Fuel rods; Poisson approximation; generalized Bernoulli chain; probabilistic safety assessment;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2006.879608
  • Filename
    1688075