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ICDE-Results on Complete Common Cause Failures in the Light of Results Obtained with the POS Model

机译:根据POS模型获得的结果,关于完全共因故障的ICDE结果

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Since April 1998, the OECD Nuclear Energy Agency (NEA) is operating the International Common Cause Data Exchange (ICDE) project. For a large number of about 1000 ICDE events the fractions of complete CCFs, which are in most cases of great relevance to bottom line PSA results, have been analyzed as a function of the degree of redundancy. From the point of view of quantitative CCF modelling, the development of an approach to reflect the empirically available complete CCF fractions in a CCF model application represents a challenging task.These components are operated under different conditions and technical specifications. Therefore, an approach is chosen which is based on low information distributions of the model parameters to account for the large variation throughout the component populations. The Process Oriented Simulation Model (POS) has been selected to carry out an analysis of complete CCFs. A more than reasonable consistency has been achieved between the model results and the observed results. Moreover, with these sets of distributions as input generic applications of the POS-model become possible. To underline this, generic P-factors are calculated as an example and compared to generic P-factors presently used in the design of advanced reactors.
机译:自1998年4月以来,经合组织核能机构(NEA)一直在开展国际共同原因数据交换(ICDE)项目。对于大量的大约1000次ICDE事件,已经分析了完整CCF的比例,该比例在大多数情况下与底线PSA结果密切相关,并根据冗余度进行了分析。从定量CCF建模的角度来看,在CCF模型应用程序中反映经验可用的完整CCF分数的方法的开发是一项艰巨的任务。 这些组件在不同的条件和技术规范下运行。因此,选择一种基于模型参数的低信息分布的方法,以解决整个组件总体中的较大变化。已经选择了面向过程的仿真模型(POS)来对完整的CCF进行分析。在模型结果和观察到的结果之间已经获得了超过合理的一致性。此外,使用这些分布集作为输入,POS模型的通用应用程序成为可能。为了强调这一点,以通用P因子为例进行计算,并将其与当前在先进反应堆设计中使用的通用P因子进行比较。

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