Advanced geometry navigation methods without cavity representation for fusion reactors

doi:10.1016/j.fusengdes.2017.08.008

	Advanced geometry navigation methods without cavity representation for fusion reactors
	Wu, Bin1 ; Yu, Shengpeng 1; Hao, Lijuan 1; Song, Jing 1; Shen, Longfeng 2; Long, Pengcheng 1
	2017-11-01
发表期刊	FUSION ENGINEERING AND DESIGN
ISSN	0920-3796
通讯作者	Shen, Longfeng(longfengshen521@126.com) ; Long, Pengcheng(pengcheng.long@fds.org.cn)
摘要	Particle transport simulations of models comprising large numbers of complex and irregular geometrical shapes is a great challenge in neutronics design and analysis of fusion reactors. All the space in the particle transport universe should be described including cavity in MCNP which is the most common deployed tool in fusion reactors. The quality of the cavity directly affects the calculation accuracy and efficiency. In view of the difficulty in describing the cavity and the instability of calculation efficiency, a new geometry representation method without cavity description was formed in Super Monte Carlo Program for Nuclear and Radiation Simulation (SuperMC). Advanced geometry navigation was developed in SuperMC to get high performance for particle transport in fusion reactors. The ITER benchmark model, a validation model released by ITER International Organization, was used to verify the accuracy and efficiency of geometry representation and navigation methods in SuperMC. The results in SuperMC showed consistency with MCNP. Besides, the computation speed was 10% faster than MCNP, while it brought more convenience without cavity representation for fusion reactors.
关键词	ITER Particle transport Without cavity description SuperMC Geometry
DOI	10.1016/j.fusengdes.2017.08.008
关键词[WOS]	NUCLEAR ANALYSIS
收录类别	SCI
语种	英语
资助项目	Innovation Foundation of the Chinese Academy of Sciences[CXJJ-16Q231] ; National Natural Science Foundation of China (NSFC)[11305205] ; National Natural Science Foundation of China (NSFC)[11605233] ; National Magnetic Confinement Fusion Science Program of China[2014GB112001] ; Industrialization Fund ; Innovation Foundation of the Chinese Academy of Sciences[CXJJ-16Q231] ; National Natural Science Foundation of China (NSFC)[11305205] ; National Natural Science Foundation of China (NSFC)[11605233] ; National Magnetic Confinement Fusion Science Program of China[2014GB112001] ; Industrialization Fund
项目资助者	Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; 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Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; 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WOS研究方向	Nuclear Science & Technology
WOS类目	Nuclear Science & Technology
WOS记录号	WOS:000419083200027
出版者	ELSEVIER SCIENCE SA
引用统计
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/35077
专题	中国科学院核能安全技术研究所
通讯作者	Shen, Longfeng; Long, Pengcheng
作者单位	1.Chinese Acad Sci, Inst Nucl Energy Safety Technol, Key Lab Neutron & Radiat Safety, Hefei 230031, Anhui, Peoples R China 2.Huaibei Normal Univ, Huaibei 235000, Anhui, Peoples R China
第一作者单位	中国科学院核能安全技术研究所
通讯作者单位	中国科学院核能安全技术研究所
推荐引用方式 GB/T 7714	Wu, Bin,Yu, Shengpeng,Hao, Lijuan,et al. Advanced geometry navigation methods without cavity representation for fusion reactors[J]. FUSION ENGINEERING AND DESIGN,2017,122:232-237.
APA	Wu, Bin,Yu, Shengpeng,Hao, Lijuan,Song, Jing,Shen, Longfeng,&Long, Pengcheng.(2017).Advanced geometry navigation methods without cavity representation for fusion reactors.FUSION ENGINEERING AND DESIGN,122,232-237.
MLA	Wu, Bin,et al."Advanced geometry navigation methods without cavity representation for fusion reactors".FUSION ENGINEERING AND DESIGN 122(2017):232-237.

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