Unavailability estimation of shutdown system of a fast reactor by Monte Carlo simulation

Abstract The safety systems of fast breeder reactors are designed to be highly reliable and have small failure probabilities. Traditionally fault tree technique is employed to analyse such systems. However fault tree approach has limitations in analyzing dependence between components and phased mission objectives. In this paper the application of Monte Carlo simulation technique to estimate the unavailability and Mean Time To Failure of shutdown system of a fast reactor is studied. Different biasing schemes are also compared for performance. Balanced failure biasing scheme gives better variance reduction as compared to simple failure biasing and direct Monte Carlo simulation. The balanced failure biasing scheme for system hardware evolution is integrated with physical process for a simple example system. The probability of crossing the safety limits on temperature is estimated.

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