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PREDICTION OF VOID FRACTION UNCERTAINTY BANDS IN BWR FUEL BUNDLES USING THE CIAU METHODOLOGY

机译:利用CIAU方法预测BWR燃料包中的空隙分数不确定性带

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One of the tasks of the Boiling Water Reactor (BWR) Full-size-fine-mesh Bundle Test (BFBT) is to examine the derivation of uncertainty bounds on the void fraction of a BWR fuel bundle. A Code (with the capability of) Internal Assessment of Uncertainty (CIAU) was originally proposed by the University of Pisa as a means of deriving uncertainty bounds in Nuclear Power Plant (NPP) calculations based on the difference between simulated and experimental data. This paper demonstrates how the core of the CIAU methodology may be adapted to generate uncertainty bands around subchannel void fraction predictions made by RELAP5-3D. In three of the four cases tested, the experimental subchannel void fraction fell within the predicted uncertainty bounds over 98% of the time. The fourth case consisted of low pressure, power and flow boundary conditions which led to poor subchannel void accuracy. An accuracy analysis indicates that this particular case has a sample averaged bias error of 0.191, which is about one order of magnitude higher than the other three cases examined. A planar average taken over all of the subchannels shows that the differences between simulated and experimental voids are less than 0.05 (in absolute terms) in all four of the cases examined.
机译:其中的沸水堆(BWR)的任务全尺寸细网捆绑测试(BFBT)是检查在BWR燃料束的空隙率不确定性界的推导。 (NPP)的计算基于模拟和实验数据之间的差异的一个代码(有能力)不确定性的内部评估(CIAU)最初是由比萨大学提出在核电厂获得误差范围的一种手段。本文演示了如何CIAU方法的核心可以适合于产生不确定性带周围子信道由RELAP5-3D做出空隙率预测。在三的四种情况进行测试,实验子信道空隙率预测的不确定性范围内下降超过98%的时间。第四壳体由低压力,功率和流量的边界条件而导致差的子信道的空隙精度。精度分析表明,该特定情况下具有0.191的样品平均的偏移误差,这是大约一个数量级高于另3例检测。接管所有的子信道表示平面平均该模拟和实验的空隙之间的差异在小于0.05(以绝对值计)的所有四个的情况下检查。

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