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THE APPLICATION OF FAULT TREE METHOD IN SYSTEMATIC MULTIPLE SPURIOUS OPERATION ANALYSIS IN FIRE PSA

机译:故障树法在消防PSA系统多相运行分析中的应用

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Systematic multiple spurious operation review is the important basement of Fire PSA Component Selection and Fire Induced Risk Modeling. It is a task of systematically evaluation of all plant systems and identification of equipments susceptible to potential spurious actuation that may challenge safe shutdown capability via spurious operations, which can ensure that the fire PSA model addresses the impacts of single spurious operations (SSOs) and multiple spurious operations (MSOs). In this paper, different methodologies of systematic multiple spurious operation review are studied and it is found that two methodologies are given in literature published at home and abroad: one methodology is development of comprehensive plant specific MSO list by panel review. This methodology is based on generic list of MSOs combined with plant specific information review. This methodology proposes high requirements for the expert panel and hard to avoid missing of some scenarios. Another methodology is review of all plant systems and components to receive SSOs, and then using MSO matrix to evaluate and encode each unique pair to receive MSOs that disable the system function. This methodology can ensure the integrity of MSO list, but the matrixes are too complicated. In this paper, the fault tree method is employed to improve the matrix method in the MSO evaluation process of the latter methodology. Reactor Coolant System (RCS) is taken as an example to describe the application of this method to CAP 1000. Engineering practice shows that the fault tree method can effectively avoid omissions of MSO scenarios, and it is more useful and simple for tertiary or quaternary MSO evaluation, as well as more convenient for further MSO evaluation due to cross system issues. Furthermore, MSO fault trees can be directly called by fire PSA model for evaluation, which can lay a foundation for the follow-up work of fire PSA.
机译:系统的多重虚假操作审查是消防PSA组件选择和火灾诱发风险建模的重要基础。这是系统评估所有工厂系统并识别易受潜在杂散致动影响的设备的任务,这些设备可能会通过杂散运行挑战安全关闭能力,这可以确保消防PSA模型能够应对单次杂散运行(SSO)和多种杂散运行的影响虚假操作(MSO)。本文研究了系统的多重杂散操作审查的不同方法,发现在国内外发表的文献中给出了两种方法:一种方法是通过小组审查制定综合的工厂特定MSO清单。该方法基于MSO的一般清单,并结合了工厂特定的信息审查。这种方法对专家小组提出了很高的要求,并且很难避免某些情况的丢失。另一种方法是审查所有工厂系统和组件以接收SSO,然后使用MSO矩阵评估和编码每个唯一对,以接收禁用系统功能的MSO。这种方法可以确保MSO列表的完整性,但是矩阵太复杂了。本文采用故障树方法对后一种方法的MSO评估过程中的矩阵方法进行了改进。以反应堆冷却剂系统(RCS)为例,描述了该方法在CAP 1000上的应用。工程实践表明,故障树方法可以有效避免MSO场景的遗漏,对于第三级或第四级MSO更有用,更简单。评估,以及由于跨系统问题而为进一步MSO评估提供更多便利。此外,火灾PSA模型可以直接调用MSO故障树进行评估,从而为火灾PSA的后续工作奠定基础。

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