首页> 外文会议>10th International Conference on Nuclear Engineering, Vol.3, Apr 14-18, 2002, Arlington, Virginia >Identification and Ranking of Phenomena Leading to Peak Cladding Temperatures in Boiling Water Reactors during Large Break Loss Of Coolant Accident Transients
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Identification and Ranking of Phenomena Leading to Peak Cladding Temperatures in Boiling Water Reactors during Large Break Loss Of Coolant Accident Transients

机译:冷却剂事故瞬态的大破坏损失期间导致沸腾反应堆熔覆温度达到峰值的现象的识别和排序

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In the licensing and validation process of best estimate codes for the analysis of nuclear reactors and postulated accident scenarios, the identification and quantification of the calculational uncertainty is required. One of the most important aspects in this process is the identification and recognition of the crucial contributing phenomena to the overall code uncertainty. The establishment of Phenomena Identification and Ranking Tables (PIRT) provides a vehicle to assist in assessing the capabilities of the computer code, and to guide the uncertainly analysis of the calculated results. The process used in this work to identify the phenomena was reviewing both licensing and best estimate calculations, as well as experiments, which had been performed for BWR LOCA analyses. The initial PIRT was developed by a group of analysts and was compared to existing BWR LOCA PIRTs as well as BWR LOCA analyses. The initial PIRT was then independently reviewed by a second panel of experts for the selected ranking of phenomena, identification of phenomena which were ignored, as well as the basis and rationale for the ranking of the phenomena. The differences between the two groups were then resolved. PIRTs have been developed for BWR types 4 and5/6 for the Large Break Loss of Coolant Accidents (LB-LOCA). The ranking and the corresponding rationale for each phenomenon is included in tables together with the assessed uncertainty of the code capability to predict the phenomena.
机译:在用于核反应堆和假定事故情景分析的最佳估算代码的许可和确认过程中,需要对计算不确定性进行识别和量化。在此过程中,最重要的方面之一是识别和识别导致总体代码不确定性的关键因素。现象识别和排名表(PIRT)的建立提供了一种工具,可以帮助评估计算机代码的功能,并指导对计算结果的不确定性分析。这项工作中用于识别现象的过程正在审查许可和最佳估计计算以及针对BWR LOCA分析进行的实验。最初的PIRT由一组分析人员开发,并与现有的BWR LOCA PIRT和BWR LOCA分析进行了比较。然后由第二个专家小组对初始PIRT进行独立审查,以选择现象的等级,识别被忽略的现象以及现象等级的基础和原理。然后解决了两组之间的差异。已经针对4号和5/6号BWR类型开发了PIRT,用于冷却液事故的重大破坏损失(LB-LOCA)。表中包括每种现象的排名和相应的原理,以及评估该现象的代码能力的评估不确定性。

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