Domain Decomposition Strategy for Pin-Wise Full-Core Monte Carlo Depletion Calculation with the Reactor Monte Carlo Code

Jingang Liang; Kan Wang; Yishu Qiu; Xiaoming Chai; Shenglong Qiang

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자료유형: 학술저널

저자정보: Jingang Liang (Tsinghua Univ.) Kan Wang (Tsinghua University) Yishu Qiu (Tsinghua University) Xiaoming Chai (Nuclear Power Institute of China) Shenglong Qiang (Nuclear Power Institute of China)

저널정보: 한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제48권 제3호

발행연도: 2016.6

수록면: 635 - 641 (7page)

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Because of prohibitive data storage requirements in large-scale simulations, the memoryproblem is an obstacle for Monte Carlo (MC) codes in accomplishing pin-wise threedimensional(3D) full-core calculations, particularly for whole-core depletion analyses. Various kinds of data are evaluated and quantificational total memory requirements areanalyzed based on the Reactor Monte Carlo (RMC) code, showing that tally data, materialdata, and isotope densities in depletion are three major parts of memory storage. Thedomain decomposition method is investigated as a means of saving memory, by dividingspatial geometry into domains that are simulated separately by parallel processors. For thevalidity of particle tracking during transport simulations, particles need to be communicatedbetween domains. In consideration of efficiency, an asynchronous particle communicationalgorithm is designed and implemented. Furthermore, we couple the domain decompositionmethod with MC burnup process, under a strategy of utilizing consistent domain partition inboth transport and depletion modules. A numerical test of 3D full-core burnup calculationsis carried out, indicating that the RMC code, with the domain decomposition method, iscapable of pin-wise full-core burnup calculations with millions of depletion regions.

#Domain Decomposition #Full-Core Depletion #Monte Carlo #Reactor Monte Carlo #RPHA15

참고문헌 (15)

참고문헌 신청

WILLIAM R. MARTIN / 2012 / CHALLENGES AND PROSPECTS FOR WHOLE-CORE MONTE CARLO ANALYSIS / Nuclear Engineering and Technology 44(2):151~160

F.B. Brown / 2011 / Recent advances and future prospects for Monte Carlo / Prog. Nucl. Sci. Technol 2:1~4

P.K. Romano / 2013 / Data decomposition of Monte Carlo particle transport simulations via tally servers / J. Comput. Phys 252:20~36

T.A. Brunner / 2009 / An efficient, robust, domaindecomposition algorithm for particle Monte Carlo / J. Comput. Phys 228:3882~3890

N. Horelik / 2014 / Monte Carlo domain decomposition for robust nuclear reactor analysis / Parallel Comput 40:646~660

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