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Discretization Sensitivity Studies for Dynamic Event Tree Analyses

机译:动态事件树分析的离散化敏感性研究

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The ADAPT (Analysis of Dynamic Accident Progression Trees) software is a tool which can generate dynamic event trees (DETs) using a system simulation tool and a user-specified set of branching rules. The DETs which are generated by ADAPT are a type of discrete DETs. Discrete DETs only branch at specific points in the system state space (i.e., specific times or specific process conditions). Under the ADAPT methodology, the cumulative probability distributions for the failure of passive components or for the occurrence of phenomena (e.g. pipe rupture, containment failure) are discretized and the physical values corresponding to the discrete probability values are used as branching conditions. Whenever discretization of an inherently continuous process is proposed in a methodology, the question of how fine of a discretization is necessary to capture all relevant information must be addressed, particularly for non-linear processes. Exploratory work is being performed to address this issue with the ADAPT methodology. An example case is analyzed using different probability distribution discretization schemes on a set of branching conditions.
机译:适应(动态事故进展树的分析)软件是一种工具,它可以使用系统仿真工具和用户指定的分支规则生成动态事件树(DET)。通过适应产生的DED是一种离散的DET。离散DEC仅在系统状态空间中的特定点(即,特定时间或特定过程条件)分支。在适应方法下,离散化或用于发生现象(例如管道破裂,容纳失败)的累积概率分布,并且与离散概率值相对应的物理值用作分支条件。每当在方法中提出固有的连续过程的离散化时,必须如何解决捕获所有相关信息的离散化的问题,特别是对于非线性过程。正在进行探索性工作以解决适应方法。在一组分支条件上使用不同的概率分布离散化方案进行分析示例情况。

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