可靠性(半导体)
水准点(测量)
校准
可靠性工程
管道
概率逻辑
集合(抽象数据类型)
计算机科学
应力腐蚀开裂
实验数据
试验计划
失效物理学
工程类
机械工程
腐蚀
统计
数学
地理
量子力学
冶金
功率(物理)
程序设计语言
大地测量学
威布尔分布
物理
人工智能
材料科学
作者
Klaus Heckmann,Dong‐Hyun Ahn,John Beal,Wen-Chi Cheng,Xinjian Duan,Tatjana Jevremović,Ernie Kee,Zahra Mohaghegh,Bengt Lydell,Seyed Reihani,Tatsuya Sakurahara,Min Wang
标识
DOI:10.1016/j.nucengdes.2022.111990
摘要
Probabilistic failure metrics such as leak frequency and rupture frequency are commonly used to characterize piping reliability. The methodologies for calculating the failure metrics rely on a complex set of input parameters. Operating experience data and experimental data play an important role in informing the different input parameters. The paper describes results and conclusions of a coordinated research project to benchmark three different reliability models using a four-step procedure: reference case definition of relevance to advanced reactor designs, input parameter calibration, validation of results, and application of different methodologies upon completion of the calibration and validation steps. The reference case is a weld consisting of nickel-base alloy 152/52 and located within a primary pressure boundary of an advanced reactor. This alloy is a class of structural materials known to be highly resistant to stress corrosion cracking. Synergies between the different methods are noted and the importance of a multi-disciplinary approach to input parameter development is underscored. A key conclusion is that the three methods are equally suitable for estimating failure frequencies. In any specific application, a selection of the most practical or effective computational tool can be considered. The comparison of alternative models confirms and helps to gain confidence in the computed failure frequency estimates. The study was part of a coordinated research project organized by the International Atomic Energy Agency.
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