首页> 外文会议>14th International Conference on Nuclear Engineering 2006(ICONE14) vol.1 >STATISTICAL ANALYSES FOR PROBABILISTIC ASSESSMENTS OF THE REACTOR PRESSURE VESSEL STRUCTURAL INTEGRITY: BUILDING A MASTER CURVE ON AN EXTRACT OF THE 'EURO' FRACTURE TOUGHNESS DATASET, CONTROLLING STATISTICAL UNCERTAINTY FOR BOTH MONO-TEMPERATURE AND MULT
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STATISTICAL ANALYSES FOR PROBABILISTIC ASSESSMENTS OF THE REACTOR PRESSURE VESSEL STRUCTURAL INTEGRITY: BUILDING A MASTER CURVE ON AN EXTRACT OF THE 'EURO' FRACTURE TOUGHNESS DATASET, CONTROLLING STATISTICAL UNCERTAINTY FOR BOTH MONO-TEMPERATURE AND MULT

机译:反应堆压力容器结构完整性的概率评估的统计分析:在“ EURO”断裂韧性数据集的摘要上建立主曲线,控制单温度和多峰温度的统计不确定性

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Assessing the structural integrity of a nuclear Reactor Pressure Vessel (RPV) subjected to pressurized-thermal-shock (PTS) transients is extremely important to safety. In addition to conventional deterministic calculations to confirm RPV integrity, Electricite de France (EDF) carries out probabilistic analyses. Probabilistic analyses are interesting because some key variables, albeit conventionally taken at conservative values, can be modeled more accurately through statistical variability. One variable which significantly affects RPV structural integrity assessment is cleavage fracture initiation toughness. The reference fracture toughness method currently in use at EDF is the RCCM and ASME Code lower-bound K_(IC) based on the indexing parameter RT_(NDT). However, in order to quantify the toughness scatter for probabilistic analyses, the master curve method is being analyzed at present. Furthermore, the master curve method is a direct means of evaluating fracture toughness based on K_(JC) data. In the framework of the master curve investigation undertaken by EDF, this article deals with the following two statistical items: building a master curve from an extract of a fracture toughness dataset (from the European project "Unified Reference Fracture Toughness Design curves for RPV Steels") and controlling statistical uncertainty for both mono-temperature and multi-temperature tests. Concerning the first point, master curve temperature dependence is empirical in nature. To determine the "original" master curve, Wallin postulated that a unified description of fracture toughness temperature dependence for ferritic steels is possible, and used a large number of data corresponding to nuclear-grade pressure vessel steels and welds. Our working hypothesis is that some ferritic steels may behave in slightly different ways. Therefore we focused exclusively on the basic french reactor vessel metal of types A508 Class 3 and A 533 grade B Class 1, taking the sampling level and direction into account as well as the test specimen type. As for the second point, the emphasis is placed on the uncertainties in applying the master curve approach.
机译:评估承受加压热冲击(PTS)瞬变的核反应堆压力容器(RPV)的结构完整性对安全性极为重要。除了用于确定RPV完整性的常规确定性计算之外,Electricite de France(EDF)还进行了概率分析。概率分析很有趣,因为某些关键变量(尽管通常是保守值)可以通过统计变异性更准确地建模。显着影响RPV结构完整性评估的一个变量是劈裂断裂起始韧性。 EDF当前使用的参考断裂韧性方法是RCCM和ASME Code下界K_(IC),基于索引参数RT_(NDT)。然而,为了量化韧性分散以进行概率分析,目前正在分析主曲线法。此外,主曲线法是基于K_(JC)数据评估断裂韧性的直接方法。在EDF进行的主曲线研究的框架中,本文涉及以下两个统计项目:从断裂韧性数据集的提取物中构建主曲线(来自欧洲项目“ RPV钢的统一参考断裂韧性设计曲线” )并控制单温度和多温度测试的统计不确定性。关于第一点,主曲线温度依赖性本质上是经验性的。为了确定“原始”主曲线,Wallin假定可以对铁素体钢的断裂韧性温度依赖性进行统一描述,并使用了大量与核级压力容器钢和焊缝相对应的数据。我们的工作假设是,某些铁素体钢的行为可能略有不同。因此,我们只考虑了A508级3类和A 533级B级1类法国基本反应堆金属,并考虑了采样水平和方向以及试样类型。关于第二点,重点放在应用主曲线方法的不确定性上。

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