An automatic adaptive mesh generation method for weight window in Monte Carlo particle transport

doi:10.1016/j.anucene.2015.12.011

CORC > 合肥物质科学研究院 > 中国科学院合肥物质科学研究院 > 中国科学院核能安全技术研究所

	An automatic adaptive mesh generation method for weight window in Monte Carlo particle transport
	Zhao, Jinbo; Li, Xinmei; Wu, Bin; Zheng, Huaqing; Hao, Lijuan; Song, Jing; Long, Pengcheng
刊名	ANNALS OF NUCLEAR ENERGY
	2016-05-01
卷号	91 期号:无页码:105-110
关键词	Variance Reduction Technique Mesh-based Weight Window Shielding Calculation Supermc
DOI	10.1016/j.anucene.2015.12.011
文献子类	Article
英文摘要	The variance reduction technique of mesh-based weight window was widely used in reactor shielding calculation. However, there are disadvantages in the traditional calculation procedure with weight window method based manual operation. It is time consuming to perform iterative calculations to get an effective weight window. Even for experts, they can only give an approximate division range of mesh parameters. Iteratively mesh plotting is needed for the under-bias or over-bias of particles. To solve the problem, an automatic adaptive mesh generation method was proposed for weight window based on the characteristics of particle's transport. The method involved coarse and fine meshing. Coarse mesh boundary parameters can be automatically generated based on the division of the interested area. Fine mesh boundary parameters can be produced by the automatic process of the mean free paths at the current energy of the particle. Coarse meshing and fine meshing were combined to generate the final meshing scheme. The fusion shielding benchmark and the ITER T426 benchmark were selected as the benchmark cases. The accuracy and efficiency of the proposed method were demonstrated. (C) 2015 Elsevier Ltd. All rights reserved.
WOS关键词	DRIVEN HYBRID SYSTEM ; TEST BLANKET MODULE ; CONCEPTUAL DESIGN ; CHINA ; ITER ; STRATEGY
WOS研究方向	Nuclear Science & Technology
语种	英语
WOS记录号	WOS:000371941100011
资助机构	Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; Strategic Priority Research Program of Chinese Academy of Sciences(XDA03040000) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001) ; National Special Program for ITER(2014GB112001)
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/30615]
专题	合肥物质科学研究院_中国科学院核能安全技术研究所
作者单位	Chinese Acad Sci, Key Lab Neutron & Radiat Safety, Inst Nucl Energy Safety Technol, Hefei 230031, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Jinbo,Li, Xinmei,Wu, Bin,et al. An automatic adaptive mesh generation method for weight window in Monte Carlo particle transport[J]. ANNALS OF NUCLEAR ENERGY,2016,91(无):105-110.
APA	Zhao, Jinbo.,Li, Xinmei.,Wu, Bin.,Zheng, Huaqing.,Hao, Lijuan.,...&Long, Pengcheng.(2016).An automatic adaptive mesh generation method for weight window in Monte Carlo particle transport.ANNALS OF NUCLEAR ENERGY,91(无),105-110.
MLA	Zhao, Jinbo,et al."An automatic adaptive mesh generation method for weight window in Monte Carlo particle transport".ANNALS OF NUCLEAR ENERGY 91.无(2016):105-110.