A practical methodology for modeling and estimation of common cause failure parameters in multi-unit nuclear PSA model
A practical methodology for modeling and estimation of common cause failure parameters in multi-unit nuclear PSA model
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DOI：
10.1016/j.ress.2017.10.018
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发表时间：
2018-02
期刊：
影响因子：
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通讯作者：
T. L. Duy;D. Vasseur
中科院分区：
文献类型：
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作者：
T. L. Duy;D. Vasseur
在评估与核电站有关的对人口健康和环境影响的风险时，应考虑多单位问题。站点级别概率安全评估的具体目标是处理该站点上各单元之间存在的依赖性。重要的依赖性因素之一是可能存在单元间共因故障 (CCF)，该故障可能会影响每个单元中存在的相同系统（有或没有互连）。由于它们是相同的，这使得它们除了通常为冗余系统建模的“单元内”CCF 之外，还可能对“单元间”CCF 敏感。在本文中，我们提出了一种在多单元 PSA 环境中建模和估计 CCF 的实用方法。首先提出了两种多单元CCF建模方法。然后提出了一种收集和分析多单元 CCF 数据的方法。该方法是通过将原始影响向量方法扩展到多单元环境而开发的。最后，为了估计不完整数据情况下的多单元CCF参数，我们提出了一种CCF模拟方法。该方法的应用在三种不同的情况下被考虑，并与贝叶斯方法和映射方法进行比较。
When assessing the risk related to Nuclear Power Plants in terms of impacts on the population health and on the environment, multi-unit issues should be taken into account. The specific aim of a Probabilistic Safety Assessment at site level is to deal with the dependencies existing between the units on that site. One of important dependency factors is the potential existence of the inter-unit common cause failures (CCF) that could affect identical systems (with or without interconnections) present in each unit. As they are identical this makes them potentially sensitive to "inter-unit" CCF, in addition to "intra-unit" CCF that are usually modeled for redundant systems.In this paper, we propose a practical methodology for modelling and estimation of CCF in a multi-unit PSA context. Two methods of modelling multi-unit CCF are firstly presented. A methodology for collecting and analyzing multi-unit CCF data is then proposed. This method is developed by extending the original impact vectors approach to the multi-unit context. Finally, in order to estimate the multi-unit CCF parameters in the case of incomplete data, we propose a CCF simulation method. The application of this method is considered in three different cases and compared with Bayesian and mapping up methods.