首页> 外文会议>International conference on the physics of reactors >DEVELOPMENT OF A 'BEST REPRESENTATIVITY' METHOD FOR MEASUREMENT DATA ANALYSIS -APPLICATION TO CRITICAL EXPERIMENT SIMULATING PWR AT THE TOSHIBA NCA FACILITIY
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DEVELOPMENT OF A 'BEST REPRESENTATIVITY' METHOD FOR MEASUREMENT DATA ANALYSIS -APPLICATION TO CRITICAL EXPERIMENT SIMULATING PWR AT THE TOSHIBA NCA FACILITIY

机译:发展“最佳代表性”测量数据分析的方法 - 以批判实验模拟TOSHIBA NCA Facitiy的PWR

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For the qualification and the validation of the nuclear calculation codes, the precise measurement data from the nuclear critical experiments are both necessary and profitable. At Toshiba, we have a tank type light water moderated nuclear critical facility named Toshiba Nuclear Critical Assembly (NCA). After the recent realization of the collaboration between Toshiba and Westinghouse, Toshiba NCA is becoming the facility of choice utilized both for BWR and PWR experiments and research. In a PWR core, the boric acid (H3BO3) is employed to control the core reactivity. At the operating conditions, the light water moderator in the core is under high pressure (15.8 MPa) and at high temperature (-580 K), thereby the water density is about 0.7 g/cm3 which is much smaller than the density of room conditions. In order to closely simulate these specific operating PWR situations, polystyrene blocks containing the boron carbide (B4C) material have been developed. In addition to these preparations for the experiments, when we judge the value/worth of the experimental data, it is quite important to evaluate the experiment similarities to the objective of the actual reactor conditions or actual reactor equipment. Recently a concept of "the representativity factor" is often used in the nuclear critical experiment field. In accordance with this concept, a new numerical evaluation method and a calculation system have been developed to understand the representativity of NCA experiments to the target reactor conditions. In this paper this mathematical method and simplified numerical results are presented.
机译:对于核计算代码的资格和验证,来自核关键实验的精确测量数据是必要和有利可图的。在东芝,我们有一个坦克式轻型水调节核关键设施,名为东芝核关键组装(NCA)。在最近实现东芝和西屋之间的合作之后,东芝NCA正在成为利用BWR和PWR实验和研究的选择的设施。在PWR核心中,使用硼酸(H3BO 3)来控制核心反应性。在操作条件下,芯中的轻型水调节器处于高压(15.8MPa)和高温(-580 k),从而水密度约为0.7g / cm 3,比房间条件的密度小得多。为了密切模拟这些特定的操作PWR情况,已经开发出含有碳化硼(B4C)材料的聚苯乙烯嵌段。除了这些实验的制剂外,当我们判断实验数据的价值/价值时,评估实际反应器条件或实际反应器设备的目标的实验相似是非常重要的。最近,“代表性因子”的概念通常用于核关键实验领域。根据该概念,已经开发了一种新的数值评估方法和计算系统来了解NCA实验对目标反应器条件的差异。本文提出了这种数学方法和简化的数值结果。

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