中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 合肥物质科学研究院
  3. 中国科学院合肥物质科学研究院
  4. 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

文献类型：期刊论文

作者Zhao, Jinbo; Li, Xinmei; Wu, Bin; Zheng, Huaqing; Hao, Lijuan; Song, Jing; Long, Pengcheng
刊名ANNALS OF NUCLEAR ENERGY
出版日期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
DOI10.1016/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)
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.

入库方式： OAI收割

来源：合肥物质科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。