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SARAX-FXS程序针对非均匀快堆堆芯计算中的改进及应用
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  • 英文篇名:Improvement and Application of SARAX-FXS Code in Calculation of Heterogeneous Fast Reactor Core
  • 作者:杜夏楠 ; 曹良志 ; 郑友琦
  • 英文作者:DU Xia-nan;CAO Liang-zhi;ZHENG You-qi;School of Nuclear Science and Technology,Xi'an Jiaotong University;
  • 关键词:SARAX-FXS ; 非均匀效应 ; 碰撞概率法 ; SPH因子 ; 快堆基准题
  • 英文关键词:SARAX-FXS;;heterogeneous effect;;collision probability method;;SPH factor;;fast reactor benchmark
  • 中文刊名:YZJS
  • 英文刊名:Atomic Energy Science and Technology
  • 机构:西安交通大学核科学与技术学院;
  • 出版日期:2017-12-20
  • 出版单位:原子能科学技术
  • 年:2017
  • 期:v.51
  • 基金:国家自然科学基金资助项目(11475134,11522544)
  • 语种:中文;
  • 页:YZJS201712027
  • 页数:7
  • CN:12
  • ISSN:11-2044/TL
  • 分类号:165-171
摘要
SARAX-FXS程序是基于确定论方法,适用于快谱堆芯组件能谱、均匀化参数计算的程序。由于快堆中组件空间自屏的非均匀效应不可忽视,本文将基于一维圆柱、平板几何的碰撞概率方法加入SARAX-FXS模块,并以等效一维模型计算组件的均匀化参数。为保证能群归并前后的核反应率守恒,在组件计算中引入超级均匀化(SPH)因子修正截面。采用快堆基准题MET-1000对程序的计算结果进行验证,结果表明,与参考解相比,SARAX-FXS的一维计算模块具有较高的精度,特征值计算相对偏差在100~200pcm之间。堆芯计算结果显示,引入SPH因子可提高特征值计算的精度约300pcm,功率分布的均方根误差可从约3%下降至约1%。
        The SARAX-FXS code is a calculation program based on the deterministic method.It has the capabilities of calculating neutron spectra and homogenized cross sections of fast reactor analysis.Since the heterogeneous effect within the assembly was not negligible in fast reactor system,the collision probability method(CPM)with onedimension slab and cylinder geometry was introduced into the SARAX-FXS code to obtain the homogenized cross sections with this one-dimension geometry.Meanwhile,in order to conserve the reaction rate after energy group condensation,the super-homogeneous(SPH)factor was also implemented in the calculation.To verify the development of the code,the MET-1000 benchmark loaded with metallic fuel was chosen as the verification case.Compared with the reference solutions,the eigenvalue calculated by SARAX-FXS with CPM shows the high accuracy with 100-200 pcm relative deviation.Meanwhile,the whole core calculation shows that the application of SPH factor could enhance the accuracy about 300 pcm and the root-mean-square error of power distribution could decrease from about 3%to 1%.
引文
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