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JMCT蒙特卡罗中子-光子输运程序全堆芯pin-by-pin模型的模拟 被引量:11

Simulation of Full-core pin-by-pin Model by JMCT Monte Carlo Neutron-photon Transport Code
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摘要 几何栅元数超过千万、计数达数十亿、模拟粒子数达数百亿规模的反应堆全堆芯pin-by-pin问题是目前国际公认的挑战计算机和计算方法的难题。由于巨大的数据量已超过单核内存的极限,必须进行空间区域分解和数据分解。本文利用基于JCOGIN实体组合几何框架自主开发研制的三维中子-光子输运蒙特卡罗程序JMCT,通过空间区域分解和嵌套并行,完成了对大亚湾核电站1号机组反应堆全堆芯pin-by-pin模型的建模和模拟,计算给出了每个pin的注量率分布及其误差。 Due to the number of cell over ten millions ,the count over billion and the particle mumber over ten billions ,the pin-by-pin problem of the full reactor core has become as a challenge for the computers and the computational methods .Since the large memory demand has exceeded the limit of a single CPU ,the spatial domain and data decomposition must be considered . JMCT 3-D Monte Carlo neutron and photon transport code which was developed based on the real body combinational geometry toolbox JCOGIN successfully fulfilled the simulation of full-core pin-by-pin model from Dayawan Nuclear Power Station by spatial domain decomposition and the nested parallel computation .The fluence rate distribution and standard deviation of each pin were obtained .
出处 《原子能科学技术》 EI CAS CSCD 北大核心 2014年第6期1061-1066,共6页 Atomic Energy Science and Technology
基金 中国工程物理研究院科学技术发展基金资助项目(2011A0103006,2012A0102005) 国防科工局核能开发项目资助 863计划资助项目(2012AA01A303)
关键词 pin-by-pin 空间区域分解 嵌套并行计算 蒙特卡罗 JCOGIN JMCT full-core pin-by-pin spatial domain decomposition nested parallel compu-tation Monte Carlo JCOGIN JMCT
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  • 1SMITH K. The challenge for Monte Carlo[R]. Gatlinburg: M&C, 2003.
  • 2BRIESMEISTER J F. MCNP: A general Monte Carlo code for N-particle transport code, LA- 12625-M[R]. US: LANL, 1997.
  • 3GRIESHEIMER D P. Monte Carlo methods in reactor physics: Current status and future pros- pects: In-line feedback effect [C]////M&C Divi- sion Computational Roundtable American Nucle-ar Society Summer Meeting. Hollywood:[s. n.], 2011.
  • 4MARTIN W, GRIESHEIMER D. Prospects for fulbcore Monte Carlo simulation including mul- tiphysics feedback[C]//PHYSOR2012. US: [s. n. ], 2012.
  • 5BROWN F B, MARTIN W R, MOSTELLER R D. Monte Carlo: Advance and ehallenges[-]3// PHYSOR2008. Interlaken, Switzerland: [ s. n. ], 2008.
  • 6DENG Li, XIE Zhongsheng, ZHANG Jianming. MCMG: A 3-D muhigroup P3 Monte Carlo code and its benchmarks [J]. J Nucl Sci Technol, 2001, 37(7): 608-614.
  • 7DENG Li, HU Zehua, LI Gang, et al. The 3-D Monte Carlo neutron and photon transport code MCMG and its algorithms[C]//PHYSOR2012. US.. Es. n. 1, 2012.
  • 8CULLEN D E, GREENMAN G M, HAG- MANN C A. Verification and validation of MERCURY: A modern Monte Carlo particle transport code, UCRL-CONF-208667 [R]. US: Lawrence Livermore National Laboratory, 2004.
  • 9O'BRIEN M J, JOY K I, PROCASSINI R J, et al. Domain decomposition of a constructive solid geometry Monte Carlo transport code, UCRL- CONF-409739 [R]. US: Lawrence Livermore National Laboratory, 2009.
  • 10BROWN F, KIEDROWSKI B, BROWN D. Ad- vanced Monte Carlo for reactor physics core anal- ysis[C]//PHYSOR2012. US: [s. n. ], 2012.

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