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On the CSAU Employment during ULOF Accident Initiating Phase for Sodium-Cooled Fast Reactors

机译:关于ULOF钠冷快堆事故启动阶段的CSAU雇用

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摘要

Unprotected accidents are considered highly unlikely events in nuclear power plants (NPP) safety evaluation. Nevertheless their assessment is a primary concern for the safety analysis of fast breeder reactors (FBR) because of the severe consequences they might cause. System safety analysis codes such as ARGO [1] are usually employed for the assessment. In system safety analysis codes the complexity of a NPP is inevitably reduced through the geometrical discretization and the physical modelization, which lead to several approximations, assumptions and compromises. This set of models should be considered carefully and quantified for licensing purposes given the inherent coupled and non-linear nature of the phenomena involved. The present work starts with a brief description of the accident focusing on the core behavior. The transient is divided into phases in order to highlight the important phenomena on the safety criteria. Subsequently the definition of the significant phenomena modelization in the code provides the basis for the identification of the relevant and sensitive input parameters and a discussion on their uncertainties. Eventually, through the use of the tolerance limit for the uncertainty combination, the paper evaluates the uncertainty propagation through the code. This paper is intended to demonstrate the applicability of the Code Scaling, Applicability, and Uncertainty (CSAU) methodology for unprotected transients in an FBR, showing the core characteristics at the end of the evaluated transient and focusing on the effect that the modelization of relevant phenomena has on the uncertainties evaluation.
机译:在核电厂(NPP)安全评估中,未受保护的事故被认为是极不可能发生的事件。然而,由于它们可能引起的严重后果,它们的评估是快速增殖反应堆(FBR)安全分析的主要关注点。系统安全分析代码(例如ARGO [1])通常用于评估。在系统安全分析代码中,通过几何离散和物理建模不可避免地降低了NPP的复杂性,这导致了几种近似,假设和折衷方案。考虑到所涉及现象的固有耦合和非线性性质,应仔细考虑并为许可目的对这组模型进行量化。本工作从对事故的简要描述开始,重点是核心行为。为了突出安全标准上的重要现象,将瞬变分为多个阶段。随后,代码中重要现象建模的定义为识别相关和敏感的输入参数提供了基础,并讨论了其不确定性。最终,通过使用不确定性组合的公差极限,本文评估了通过代码传播的不确定性。本文旨在演示代码缩放,适用性和不确定性(CSAU)方法在FBR中不受保护的瞬变的适用性,在评估的瞬变结束时显示核心特征,并着重于对相关现象进行建模的影响有对不确定性的评价。

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