中子在铅中的传播:RSV TAPIRO快堆实验的可行性研究

V. Fabrizio, N. Burgio, D. Castelluccio, L. Falconi, G. Grasso, F. Lodi, A. Mengoni, V. Peluso, R. Pergreffi, Alfonso Santagata, M. Sarotto
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引用次数: 0

摘要

世界范围内对铅冷快堆(LFRs)日益增长的兴趣证实了验证用于支持其设计的分析规范和方法的必要性。对于中子分析,这主要体现在评估核数据不确定性对这些分析产生的积分和局部参数的影响。为了完善核数据,需要不断努力进行更精确的测量,无论是微分测量还是积分测量,为此需要适当的设施。ENEA Casaccia研究中心的快源反应堆RSV TAPIRO提供了一个独特的机会来进行新的集成实验,以支持包括LFRs在内的快堆,由于热柱的中子谱特征良好。已经设想了一系列关于铅在反应堆中的使用的实验。实验涉及中子通过代表反应堆堆芯相关元素的材料块的传播,范围从纯铅到复制lfr中反射器和屏蔽部分的混合物。本文重点研究了将铅和混合块插入RSV TAPIRO反应堆的所谓热柱中,并由反应堆堆芯周围铜反射器产生的中子通量照射的一些实验的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neutrons propagation in Lead: A feasibility study for experiments in the RSV TAPIRO fast research reactor
The increasing worldwide interest in Lead-cooled Fast Reactors (LFRs) substantiates the need to validate the analytical codes and methods used to support their design. For neutronic analyses, this is chiefly reflected in assessing the impact of nuclear data uncertainties on the integral and local parameters resulting from such analyses. The aim of refining nuclear data moves continuous efforts for more accurate measurements, be them differential or integral, for which adequate facilities are required. The availability at the ENEA's Casaccia research center of a fast source reactor – RSV TAPIRO – provides a unique opportunity to perform new integral experiments in support of fast reactors, including LFRs, owing to the well-characterized neutron spectrum of the thermal column. A series of experiments has been envisaged, dealing with the use of Lead in a reactor. The experiments concern the propagation of neutrons through blocks of materials representing relevant elements of a reactor core, and ranging from pure Lead to mixtures reproducing portions of the reflector and shield in LFRs. The paper is focused on the feasibility study of some of these experiments in which Lead and mixture blocks are inserted in the so-called thermal column of the RSV TAPIRO reactor and irradiated by the neutron flux emerging from the Copper reflector surrounding the reactor core.
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