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Global variance reduction method for global Monte Carlo particle transport simulations of CFETR
Nie, Xing-Chen1; Li, Jia1; Liu, Song-Lin2; Zhang, Xiao-Kang2; Zhao, Ping-Hui1; Ye, Min-You1; Vogel, German1; Yang, Xiao1; Zhu, Qing-Jun2
2017-08-01
Source PublicationNUCLEAR SCIENCE AND TECHNIQUES
Volume28Issue:8
AbstractIt can be difficult to calculate some under-sampled regions in global Monte Carlo radiation transport calculations. The global variance reduction (GVR) method is a useful solution to the problem of variance reduction everywhere in a phase space. In this research, a GVR procedure was developed and applied to the Chinese Fusion Engineering Testing Reactor (CFETR). A cylindrical CFETR model was utilized for comparing various implementations of the GVR method to find the optimum. It was found that the flux-based GVR method could ensure more reliable statistical results, achieving an efficiency being 7.43 times that of the analog case. A mesh tally of the scalar neutron flux was chosen for the GVR method to simulate global neutron transport in the CFETR model. Particles distributed uniformly in the system were sampled adequately through ten iterations of GVR weight window. All voxels were scored, and the average relative error was 2.4% in the ultimate step of the GVR iteration.
SubtypeArticle
KeywordGlobal Variance Reduction Weight Window Monte Carlo Mcnp Neutronics
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
Funding OrganizationNational Special Project for Magnetic Confined Nuclear Fusion Energy(2013GB108004 ; National Special Project for Magnetic Confined Nuclear Fusion Energy(2013GB108004 ; Chinese National Natural Science Foundation(11175207) ; Chinese National Natural Science Foundation(11175207) ; 2015GB108002) ; 2015GB108002) ; National Special Project for Magnetic Confined Nuclear Fusion Energy(2013GB108004 ; National Special Project for Magnetic Confined Nuclear Fusion Energy(2013GB108004 ; Chinese National Natural Science Foundation(11175207) ; Chinese National Natural Science Foundation(11175207) ; 2015GB108002) ; 2015GB108002)
DOI10.1007/s41365-017-0270-3
WOS KeywordBREEDER BLANKET ; WEIGHT WINDOWS
Indexed BySCI
Language英语
Funding OrganizationNational Special Project for Magnetic Confined Nuclear Fusion Energy(2013GB108004 ; National Special Project for Magnetic Confined Nuclear Fusion Energy(2013GB108004 ; Chinese National Natural Science Foundation(11175207) ; Chinese National Natural Science Foundation(11175207) ; 2015GB108002) ; 2015GB108002) ; National Special Project for Magnetic Confined Nuclear Fusion Energy(2013GB108004 ; National Special Project for Magnetic Confined Nuclear Fusion Energy(2013GB108004 ; Chinese National Natural Science Foundation(11175207) ; Chinese National Natural Science Foundation(11175207) ; 2015GB108002) ; 2015GB108002)
WOS Research AreaNuclear Science & Technology ; Physics
WOS SubjectNuclear Science & Technology ; Physics, Nuclear
WOS IDWOS:000408789500014
Citation statistics
Document Type期刊论文
Identifierhttp://ir.hfcas.ac.cn:8080/handle/334002/33622
Collection中科院等离子体物理研究所
Affiliation1.Univ Sci & Technol China, Sch Nucl Sci & Technol, Hefei 230027, Anhui, Peoples R China
2.Chinese Acad Sci, Inst Plasma Phys, Hefei 230031, Anhui, Peoples R China
Recommended Citation
GB/T 7714
Nie, Xing-Chen,Li, Jia,Liu, Song-Lin,et al. Global variance reduction method for global Monte Carlo particle transport simulations of CFETR[J]. NUCLEAR SCIENCE AND TECHNIQUES,2017,28(8).
APA Nie, Xing-Chen.,Li, Jia.,Liu, Song-Lin.,Zhang, Xiao-Kang.,Zhao, Ping-Hui.,...&Zhu, Qing-Jun.(2017).Global variance reduction method for global Monte Carlo particle transport simulations of CFETR.NUCLEAR SCIENCE AND TECHNIQUES,28(8).
MLA Nie, Xing-Chen,et al."Global variance reduction method for global Monte Carlo particle transport simulations of CFETR".NUCLEAR SCIENCE AND TECHNIQUES 28.8(2017).
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