估算不同金属焊缝检测概率的虚拟循环研究结果

R. Meyer, Aimee E. Holmes, Romarie Morales, I. Virkkunen, T. Seuaciuc-Osório, B. Lin
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引用次数: 0

摘要

本文介绍了利用一种新的虚拟缺陷方法来克服核电工业中经验检测概率(POD)估计所面临的挑战。在美国核管理委员会(NRC)组织的国际合作NDE调查计划(PIONIC)下,利用虚拟缺陷方法产生的数据进行了虚拟轮询(VRR)研究。来自太平洋西北国家实验室(PNNL)、电力研究所(EPRI)和阿尔托大学的团队对VRR的结果进行了分析。提出了经验推导的POD估计,并讨论了与获得这些估计相关的挑战。介绍了虚拟缺陷方法,并描述了虚拟缺陷方法在VRR活动中的具体实现。本文介绍了PNNL、EPRI和Aalto大学对VRR数据进行POD分析的结果,并对分析结果的差异进行了讨论。最后,讨论了改进虚拟缺陷法及其POD估计应用的潜在工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Results of a Virtual Round Robin Study to Estimate Probability of Detection for Dissimilar Metal Welds
This paper presents efforts to overcome challenges with empirical probability of detection (POD) estimations in the nuclear power industry through the utilization of a novel virtual flaw method. A virtual round robin (VRR) study was conducted under the Program for Investigation Of NDE by International Collaboration (PIONIC), organized by the United States Nuclear Regulatory Commission (NRC) utilizing data generated by the virtual flaw method. Analysis of results from the VRR was performed by teams from Pacific Northwest National Laboratory (PNNL), Electric Power Research Institute (EPRI), and Aalto University. Empirically derived POD estimations are presented, and challenges associated with obtaining these estimations are discussed. The virtual flaw method is introduced and some details of its implementation for the VRR activity are described. Results from POD analysis of the VRR data by PNNL, EPRI, and Aalto University are presented and a discussion regarding differences in analysis results is provided. Finally, potential future efforts to improve the application of the virtual flaw method and its estimation of POD are discussed.
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