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Cross section adjustment method based on random sampling technique

机译:基于随机抽样技术的截面平差方法

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摘要

A cross section adjustment method based on the random sampling technique is proposed. In the proposed method, correlations among cross sections and core parameters are used instead of sensitivity coefficients of cross sections, which are necessary in the conventional method. The correlations are statistically estimated by the random sampling technique. The proposed method is theoretically consistent with the conventional method and provides comparable adjusted cross sections when sufficient number of random sampling is taken into account. The proposed method would be suitable for practical light water reactor (LWR) core analysis since estimation of sensitivity coefficients, which requires considerable computational cost in typical LWR problems, is not necessary. Through a benchmark problem in simple pin-cell geometry, adjusted cross sections by the present and the conventional cross section adjustment method are compared. The adjusted cross sections by the present method well reproduce the conventional ones, thus the feasibility of the present method is confirmed.
机译:该文提出一种基于随机抽样技术的截面平差方法。在所提出的方法中,使用横截面和核心参数之间的相关性,而不是传统方法中需要的横截面灵敏系数。通过随机抽样技术对相关性进行统计估计。所提出的方法在理论上与传统方法一致,并且在考虑足够数量的随机抽样时提供了可比的调整横截面。所提出的方法适用于实际的轻水堆(LWR)堆芯分析,因为在典型的轻水堆问题中,灵敏度系数的估计需要相当大的计算成本。通过简单针孔几何结构中的基准问题,比较了目前调整后的截面和传统的截面调整方法。本方法调整后的截面较好地再现了常规截面,从而证实了该方法的可行性。

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