| Summary: | Passive Containment Cooling System is innovatively used in AP1000 reactor design in order to enhance the safety of new generation nuclear power plant. Since the system operation is based on natural circulation and air is the cold source, so physical process failure becomes one of the important failure modes, which should be considered in system failure prognosis, and air temperature has important effect on system failure probability. In this paper, Monte Carlo (MC) simulation is used to evaluate the system physical failure probability based on air temperature probability distribution, and the effect of air temperature probability distribution on failure modes and probability is analyzed under different system component configurations, the results of pressure distribution in the containment based on air temperature distribution are also gained.
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