首页> 外文会议>International Conference on Nuclear Engineering >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:统计分析对反应器压力容器结构完整性的概率评估:在“欧元”断裂韧性数据集中提取物上的主曲线,控制单温和多重的统计不确定性

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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:评估经过加压 - 热冲击(PTS)瞬变进行核反应堆压力容器(RPV)的结构完整性对安全极为重要。除了通过传统的确定性计算来确认RPV完整性,发电机De France(EDF)执行概率分析。概率分析是有趣的,因为传统上的一些关键变量虽然是在保守值的情况下,可以通过统计变异更准确地建模。一种显着影响RPV结构完整性评估的可变性是切割裂缝引发韧性。目前在EDF使用的参考裂缝韧性方法是基于索引参数RT_(NDT)的RCCM和ASME代码下限K_(IC)。然而,为了量化概率分析的韧性散射,目前正在分析主曲线方法。此外,主曲线方法是基于K_(JC)数据评估断裂韧性的直接手段。在EDF进行的主曲线调查的框架中,本条涉及以下两个统计项目:从骨折韧性数据集的提取物建立主曲线(来自欧洲项目“统一参考骨折韧性设计曲线为RPV Steels” )和控制单温和多温测试的统计不确定性。关于第一点,主曲线温度依赖性在本质上是经验的。为了确定“原始”主曲线,沃林假设了对铁素体钢的裂缝韧性温度依赖性的统一描述,并使用了对应于核级压力容器钢和焊接的大量数据。我们的工作假设是一些铁素体钢可能以略微不同的方式行事。因此,我们专注于A508类3和533级1型的基本法式反应器血管金属,考虑采样水平和方向以及试样类型。至于第二点,重点放置在应用主曲线方法时的不确定性。

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