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1.兰州大学 核科学与技术学院 兰州 730000
2.兰州大学 教育部中子应用技术工程研究中心 兰州 730000
Received:19 January 2018,
Revised:14 February 2018,
Published:10 June 2018
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Kejun LI, Zheng WEI, Changqi LIU, et al. Calculation and simulation on the fission products for neutron-induced 239Pu fission based on Potential-driving model[J]. Nuclear techniques, 2018, 41(6): 060503
Kejun LI, Zheng WEI, Changqi LIU, et al. Calculation and simulation on the fission products for neutron-induced 239Pu fission based on Potential-driving model[J]. Nuclear techniques, 2018, 41(6): 060503 DOI: 10.11889/j.0253-3219.2018.hjs.41.060503.
当前新型核能利用系统及核数据评价的发展对快中子诱发
239
Pu裂变核数据提出了更高的精度需求。本工作基于已提出并构建的Potential-driving模型,通过中子诱发
239
Pu(n,f)裂变驱动势研究,计算了几个典型能量中子诱发
239
Pu(n,f)反应发射中子前裂变碎片质量分布,并与实验数据进行了对比。结果显示:Potential-driving模型计算数据能够很好地与实验数据符合。将Potential-driving模型植入GEANT4程序,开展了快中子诱发
239
Pu(n,f)反应相关的模拟研究,给出了14 MeV中子诱发
239
Pu(n,f)反应的裂变碎片独立产额质量分布和电荷分布、累积产额质量分布和电荷分布、动能分布、裂变中子能谱以及
239
Pu(n,f)反应裂变碎片平均总动能随入射中子能量的变化等数据,并与GEANT4程序原有的参数化裂变模型(G4ParaFissionModel)模拟结果、ENDF/B-Ⅶ.1库评价数据以及实验数据进行了比较。结果显示:所发展的Potential-driving模型能很好地预测快中子诱发
239
Pu(n,f)反应裂变产物数据,为快中子诱发
239
Pu(n,f)反应裂变产物核数据的研究提供了一种更可靠的计算方法。
Background
2
At present
high-precision fission nuclear data of fast neutron-induced
239
Pu(n
f) reaction is required for the study of new-generation nuclear systems.
Purpose
2
Based on the proposed Potential-driving model in the earlier study
the calculation and simulation methods are developed to predict the fission product data for
239
Pu(n
f) reaction in this paper.
Methods
2
The driving potential distribution and pre-neutron-emission mass distribution for
239
Pu(n
f) reaction are calculated based on the Potential-driving model. In addition
the Potential-driving model is implanted in the GEANT4 code for simulating the physical process of
239
Pu(n
f) reaction. The mass distribution and the charge distribution of independent and cumulative yield
the fission-fragment kinetic energy distribution and the fission neutron spectrum of post-neutron-emission for D-T neutron-induced
239
Pu(n
f) reaction are presented. Average total kinetic energy of the fission-fragment for
239
Pu(n
f) reaction as a function of the incident neutron energy is also shown.
Results
2
The calculated and simulated results in the Potential-driving model are compared with the experimental data
the evaluated data from ENDF/B-Ⅶ.1 and the simulated data based on the G4ParaFissionModel. It is found that the results calculated by the Potential-driving model are in good agreement with the experimental data and the ENDF/B-Ⅶ.1 evaluated data
are better than those data calculated by the G4ParaFissionModel.
Conclusions
2
The Potential-driving model can well describe the post-fission physical process for
239
Pu(n
f) reaction. It is a more reliable method for the study on fission-product nuclear data of fast neutron-induced
239
Pu(n
f) reaction.
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