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

Because of prohibitive data storage requirements in large-scale simulations, the memory problem is an obstacle for Monte Carlo (MC) codes in accomplishing pin-wise three-dimensional (3D) full-core calculations, particularly for whole-core depletion analyses. Various kinds of data are evaluated and q...

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Main Authors: Jingang Liang, Kan Wang, Yishu Qiu, Xiaoming Chai, Shenglong Qiang
Format: Article
Language:English
Published: Elsevier 2016-06-01
Series:Nuclear Engineering and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1738573316000462
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author Jingang Liang
Kan Wang
Yishu Qiu
Xiaoming Chai
Shenglong Qiang
author_facet Jingang Liang
Kan Wang
Yishu Qiu
Xiaoming Chai
Shenglong Qiang
author_sort Jingang Liang
collection DOAJ
description Because of prohibitive data storage requirements in large-scale simulations, the memory problem is an obstacle for Monte Carlo (MC) codes in accomplishing pin-wise three-dimensional (3D) full-core calculations, particularly for whole-core depletion analyses. Various kinds of data are evaluated and quantificational total memory requirements are analyzed based on the Reactor Monte Carlo (RMC) code, showing that tally data, material data, and isotope densities in depletion are three major parts of memory storage. The domain decomposition method is investigated as a means of saving memory, by dividing spatial geometry into domains that are simulated separately by parallel processors. For the validity of particle tracking during transport simulations, particles need to be communicated between domains. In consideration of efficiency, an asynchronous particle communication algorithm is designed and implemented. Furthermore, we couple the domain decomposition method with MC burnup process, under a strategy of utilizing consistent domain partition in both transport and depletion modules. A numerical test of 3D full-core burnup calculations is carried out, indicating that the RMC code, with the domain decomposition method, is capable of pin-wise full-core burnup calculations with millions of depletion regions.
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spelling doaj.art-92c638f5c0f24aa89baedfc61a8fc9f02022-12-21T21:46:31ZengElsevierNuclear Engineering and Technology1738-57332016-06-0148363564110.1016/j.net.2016.01.015Domain Decomposition Strategy for Pin-wise Full-Core Monte Carlo Depletion Calculation with the Reactor Monte Carlo CodeJingang Liang0Kan Wang1Yishu Qiu2Xiaoming Chai3Shenglong Qiang4Department of Engineering Physics, LiuQing Building, Tsinghua University, Beijing, 100084, ChinaDepartment of Engineering Physics, LiuQing Building, Tsinghua University, Beijing, 100084, ChinaDepartment of Engineering Physics, LiuQing Building, Tsinghua University, Beijing, 100084, ChinaScience and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Changshun Ave 328, Shuangliu, Chengdu 610041, ChinaScience and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Changshun Ave 328, Shuangliu, Chengdu 610041, ChinaBecause of prohibitive data storage requirements in large-scale simulations, the memory problem is an obstacle for Monte Carlo (MC) codes in accomplishing pin-wise three-dimensional (3D) full-core calculations, particularly for whole-core depletion analyses. Various kinds of data are evaluated and quantificational total memory requirements are analyzed based on the Reactor Monte Carlo (RMC) code, showing that tally data, material data, and isotope densities in depletion are three major parts of memory storage. The domain decomposition method is investigated as a means of saving memory, by dividing spatial geometry into domains that are simulated separately by parallel processors. For the validity of particle tracking during transport simulations, particles need to be communicated between domains. In consideration of efficiency, an asynchronous particle communication algorithm is designed and implemented. Furthermore, we couple the domain decomposition method with MC burnup process, under a strategy of utilizing consistent domain partition in both transport and depletion modules. A numerical test of 3D full-core burnup calculations is carried out, indicating that the RMC code, with the domain decomposition method, is capable of pin-wise full-core burnup calculations with millions of depletion regions.http://www.sciencedirect.com/science/article/pii/S1738573316000462Domain DecompositionFull-Core DepletionMonte CarloReactor Monte CarloRPHA15
spellingShingle Jingang Liang
Kan Wang
Yishu Qiu
Xiaoming Chai
Shenglong Qiang
Domain Decomposition Strategy for Pin-wise Full-Core Monte Carlo Depletion Calculation with the Reactor Monte Carlo Code
Nuclear Engineering and Technology
Domain Decomposition
Full-Core Depletion
Monte Carlo
Reactor Monte Carlo
RPHA15
title Domain Decomposition Strategy for Pin-wise Full-Core Monte Carlo Depletion Calculation with the Reactor Monte Carlo Code
title_full Domain Decomposition Strategy for Pin-wise Full-Core Monte Carlo Depletion Calculation with the Reactor Monte Carlo Code
title_fullStr Domain Decomposition Strategy for Pin-wise Full-Core Monte Carlo Depletion Calculation with the Reactor Monte Carlo Code
title_full_unstemmed Domain Decomposition Strategy for Pin-wise Full-Core Monte Carlo Depletion Calculation with the Reactor Monte Carlo Code
title_short Domain Decomposition Strategy for Pin-wise Full-Core Monte Carlo Depletion Calculation with the Reactor Monte Carlo Code
title_sort domain decomposition strategy for pin wise full core monte carlo depletion calculation with the reactor monte carlo code
topic Domain Decomposition
Full-Core Depletion
Monte Carlo
Reactor Monte Carlo
RPHA15
url http://www.sciencedirect.com/science/article/pii/S1738573316000462
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