Extensions of the I&AB method for the reliability assessment of the spent fuel pool of EPR

M. Bouissou
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引用次数: 3

Abstract

: The I&AB (Initiator and All Barriers) method was first introduced at ESREL 2016, as an efficient means to calculate, thanks to closed form formulae, the reliability of a very large repairable system with dependencies among components. The mathematical support of I&AB is continuous time Markov chains, and therefore it cannot be used for modeling the spent fuel pool of a nuclear power plant, because for this system, there are two kinds of deterministic delays that must be taken into account: grace times (for example, after the total loss of cooling of the pool, it takes exactly 14 hours for the water to start boiling), and deterministic failures due to the limited capacity of water tanks. In the present paper, we extend the I&AB method to account for deterministic delays. We explain how we could apply this method in the case of the fuel pool of the EPR (European Pressurized Reactor) starting from a model in the form of a BDMP (Boolean logic Driven Markov Process), and how results and computation times compare to a Monte Carlo simulation of the same BDMP.
EPR乏燃料池可靠性评估I&AB方法的扩展
I&AB(发起者和所有障碍)方法首次在ESREL 2016上被引入,作为一种有效的计算方法,由于封闭形式公式,非常大的可修复系统的可靠性与组件之间的依赖关系。I&AB的数学支持是连续时间马尔可夫链,因此它不能用于核电厂乏燃料池的建模,因为对于该系统,必须考虑两种确定性延迟:宽限时间(例如,在池的冷却完全丧失后,水开始沸腾需要整整14小时),以及由于水箱容量有限而导致的确定性故障。在本文中,我们扩展了I&AB方法来考虑确定性延迟。我们将从BDMP(布尔逻辑驱动的马尔可夫过程)的模型开始,解释如何在EPR(欧洲压水堆)燃料池的情况下应用此方法,以及如何将结果和计算时间与相同BDMP的蒙特卡罗模拟进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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