期刊文献+

基于共轭通量的蒙特卡罗临界硼浓度搜索方法

Monte Carlo critical boron concentration search method based on adjoint flux
下载PDF
导出
摘要 临界硼浓度搜索是反应堆设计和物理分析的重要组成部分。本文针对传统搜索方法需要多次临界计算、效率低的问题,发展了一种基于共轭通量的蒙特卡罗临界硼浓度搜索方法。该方法将临界硼浓度搜索视为微扰问题,采用共轭通量法进行微扰计算,并在蒙特卡罗模拟中使用反复裂变几率法计算共轭通量,只需对系统进行一次临界计算,就可以得到系统初始的共轭通量以及有效增殖因子对硼浓度变化的响应系数,使用该响应系数可直接计算得到系统临界硼浓度。西屋公司标准17×17组件模型的数值验证结果表明:本文方法可以有效应用于临界硼浓度搜索。 [Background] Critical boron concentration search is considered as an important part of reactor design and analysis, but traditional search method requires multiple criticality calculations, hence low efficiency. [Purpose] In order to overcome the disadvantages of the traditional search method, a highly efficient Monte Carlo critical boron concentration search method is developed and verified. [Methods] First of all, the critical boron concentration search is treated as a perturbation problem. Then the adjoint flux method is adopted for perturbation calculation whilst the adjoint flux is calculated by the iterated fission probability method in the Monte Carlo simulation. The adjoint flux and the effective multiplication factor on the boron concentration response coefficients of the initial state can be obtained by only one criticality calculation, and the critical boron concentration is directly derived from the response coefficients. Finally verification is made on the standard Westinghouse 17×17 assembly model. [Results] The numerical results of verification show a good agreement with reference results. [Conclusion] This method can be effectively applied to critical boron concentration search.
作者 毕璇璇 孙光耀 郝丽娟 宋婧 胡丽琴 BI Xuanxuan;SUN Guangyao;HAO Lijuan;SONG Jing;HU Liqin(Key Laboratory of Neutronics and Radiation Safety, Institute of Nuclear Energy Safety Technology, Chinese Academy of Sciences, Hefei 230031, China;University of Science and Technology of China, Hefei 230026, China)
出处 《核技术》 CAS CSCD 北大核心 2018年第7期83-87,共5页 Nuclear Techniques
基金 国家自然科学基金(No.11605233) 国家磁约束核聚变能发展研究专项(No.2014GB112000) 中国科学院合肥物质科学研究院院长基金(No.YZJJ201618)资助~~
关键词 临界搜索 共轭通量 反复裂变几率 微扰 SuperMC Criticality search Adjoint flux Iterated fission probability Perturbation SuperMC
  • 相关文献

参考文献7

二级参考文献60

  • 1吴宜灿,李莹,卢磊,丁爱平,胡海敏,曾勤,罗月童,郑善良,黄群英,陈义学.Research and development of the automatic modeling system for Monte Carlo particle transport simulation[J].核科学与工程,2006,26(1):20-27. 被引量:58
  • 2X-5 Monte Carlo Team.MCNP-A general monte carlo n-particle transport code,version 5[R].LA-UR-03-1987,Los Alarmos National Laboratory,2003.
  • 3Bowman S,Hollenbach D,Dehart M,et al.SCALE 5:Powerful new criticality safety analysis tools[C].Tokai Mura,Japan:Proc ee d ings of th e 7t h in te rnat ional conference on nuclear criticality safety(ICNC 2003),2003.
  • 4Li Zeguang,Wang Kan,Yu Ganglin.Research on monte carlo perturbation calculation methods applied in reactor physics[C].Brussels,Belgium:The 17th international conference on nuclear engineering(ICONE 17),2009.
  • 5Kan Wang,Zeguang Li.RMC–A monte carlo code for reactor physics analysis[C].Sun Vally,US:Proc.M&C2013.
  • 6Hyung Jin SHIM.Adjoint sensitivity and uncertainty analyses in monte carlo forward calculations[J].Journal of Nuclear Science and Technology,2011,05:1453-1461.
  • 7La Bauve R J.Bare highly enriched uranium sphere(Godiva),HEU-MET-FAST-001,VolumeⅡ,NEA/NSC/DOC(95)03/Ⅱ,International handbook of evaluated criticality safety benchmark experiments,september 2003 edition[M].Nuclear Energy Agency,OECD,2003.
  • 8Shim, Hyung Jin,Kim, Chang Hyo.Adjoint sensitivity and uncertainty analyses in Monte Carlo forward calculations[].Journal of Nuclear Science and Technology.2011
  • 9Kiedrowski B C,Brown F B.Adjoint-based keigenvalue sensitivity coefficients to nuclear data using continuous-energy monte carlo[].Nuclear Science Journal.2013
  • 10Perfetti C M,Rearden B T.Development of a SCALE tool for continuous-energy eigenvalue sensitivity coefficient calculations[].Joint International Conference on Supercomputing in Nuclear Applications and Monte Carlo (SNA+MC ).2013

共引文献83

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部