Embedding Monte Carlo simulation within the stochastic Petri network formalism for the evaluation of the availability of a nuclear safety system

D. Ionescu, E. Zio, A. Constantinescu
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引用次数: 1

Abstract

The purpose of this study is to illustrate the combined use of generalized stochastic Petri networks (GSPNs) and Monte Carlo simulation (MCS) in reliability and availability analysis. A GSPN/MCS model is developed for the evaluation of the availability of the high-pressure injection system (HPIS) of a pressurized water reactor (PWR). Because of the high reliability of the components, a forced Monte Carlo simulation scheme was adopted. The system performance is quantified in terms of unavailability, mean down time and mean number of failures. Various alternatives of preventive maintenance are investigated, including the effect of changing the time intervals between two consecutive inspections.
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在随机Petri网络形式中嵌入蒙特卡罗模拟以评估核安全系统的可用性
本研究的目的是说明广义随机Petri网络(GSPNs)和蒙特卡罗模拟(MCS)在可靠性和可用性分析中的结合使用。针对压水堆高压喷射系统(HPIS)的有效性,建立了GSPN/MCS模型。由于元件可靠性高,采用强制蒙特卡罗仿真方案。系统性能根据不可用性、平均停机时间和平均故障次数进行量化。研究了预防性维修的各种替代方案,包括改变两次连续检查之间的时间间隔的效果。
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