首页> 外文期刊>Nuclear Engineering and Design >LOCA frequency evaluation using expert elicitation
【24h】

LOCA frequency evaluation using expert elicitation

机译:使用专家启发进行LOCA频率评估

获取原文
获取原文并翻译 | 示例
           

摘要

The double-ended-guillotine break (DEGB) criterion of the largest primary piping system in the plant, which generally provides the limiting condition for the emergency core cooling system requirements, is widely recognized as an extremely unlikely event. As a result, US Nuclear Regulatory Commission (NRC) staff are currently considering a risk-informed revision of the design-basis break size requirements for commercial nuclear power plants. In support of this effort, loss-of-coolant accident (LOCA) frequency estimates have been developed using an expert elicitation process by consolidating service history data and insights from probabilistic fracture mechanics (PFM) studies with knowledge of plant design, operation, and material performance. Baseline LOCA frequency estimates for the 5th percentile, median, mean and 95th percentile were determined from each panelist's elicitation responses. Group estimates were determined by aggregating the individual estimates using the geometric mean of the individual estimates for each frequency parameter. Group variability was estimated by calculating 95% confidence bounds for each of the group frequency parameters (i.e., median, mean, and 5th and 95th percentiles). A number of sensitivity analyses were conducted to examine the effects on the quantitative results from varying the assumptions, structure and techniques of the baseline analysis procedure.
机译:工厂中最大的一次管道系统的双断头断头台(DEGB)标准通常为应急堆芯冷却系统的要求提供了限制条件,这被广泛认为是极不可能的事件。结果,美国核监管委员会(NRC)的工作人员目前正在考虑对商业核电厂的设计基准破损尺寸要求进行风险告知修订。为了支持这一工作,通过使用专家启发过程,通过结合服务历史数据和来自概率断裂力学(PFM)研究的见解,并结合工厂设计,运营和材料知识,开发了冷却损失事故(LOCA)频率估算性能。根据每个小组成员的启发反应确定第5个百分位数,中位数,均值和第95个百分位数的基线LOCA频率估算值。通过使用各个频率参数的单个估算值的几何平均值对单个估算值进行汇总来确定组估算值。通过计算每个组频率参数(即中位数,均值以及第5个和第95个百分位数)的95%置信区间来估算组的变异性。进行了许多敏感性分析,以检查基线分析程序的各种假设,结构和技术对定量结果的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号