Development of Post-Processing Methods for Dynamic Event Analyzer, DICE

DDET (Discrete Dynamic Event Tree) method or MCET (Monte Carlo Event Tree) are methods where the reliability of components and operator's interventions are contextually reflected in safety analysis over time. DDET and MCET methods uses both deterministic analysis using physical simulations and probabilistic state changes, where the stochastic features could be used to find undetermined scenarios that are not discussed in conventional deterministic or probabilistic analysis. DICE^TM (Dynamic Integrated Consequence Evaluation) is a tool on the basis of DDET and MCET method. In the MCET method, the distribution of scenarios could be examined because stochastic considerations including recovery of the components and operator's action are involved. In order to utilize this method, it is necessary to perform some post-processing for user's convenience. This study demonstrated the results of post-processing techniques for scenarios generated through DICE^TM with an example of LBLOCA (Large Break Loss of Coolant Accident).

Keywords: Post-processing, MCET, DICE^TM, LBLOCA.

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