Stochastic Analysis of Natural Circulation Decay Heat Removal of Sodium Cooled Fast Reactor based on Latin Hypercube Sampling

摘要

A stochastic analysis of uncertainty correlation between input variables and analytical result of a computational simulation has been performed in the present study. A natural circulation decay heat removal in a sodium cooled fast reactor is chosen as a target phenomenon. The Midpoint Latin Hypercube Sampling (MLHS) and the correlation ratio are used to evaluate the rank of input variables upon the phenomenon. A common uncertain factor among the input variables has also been considered in the random sampling. As a result, it is concluded that the uncertainty correlation can be evaluated with the present method even when the common uncertain factor exists in some input parameters.