A two-step neutron spectrum unfolding method for fission reactors based on artificial neural network
文献类型：期刊论文
| 作者 | Cao, Chenglong1,2; Gan, Quan1; Song, Jing1; Long, Pengcheng1; Wu, Bin1 ; Wu, Yican1
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| 刊名 | ANNALS OF NUCLEAR ENERGY
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| 出版日期 | 2020-05-01 |
| 卷号 | 139 |
| 关键词 | Neutron spectrum unfolding Two-step method Artificial neural network Iteration algorithm |
| ISSN号 | 0306-4549 |
| DOI | 10.1016/j.anucene.2019.107219 |
| 通讯作者 | Wu, Yican(yican.wu@fds.org.cn) |
| 英文摘要 | Comprehensive knowledge of neutron spectrum is significant in reactor design. Online wide-range neutron spectrum unfolding technology still requires improvement in accuracy and efficiency. In the work, a "two-step" neutron spectrum unfolding method based on artificial neural network (ANN) was developed to unfold spectrum with wide energy range. First, a default spectrum was reconstructed by using the ANN model which had been trained with a large amount of neutron spectra generated from Monte Carlo transport calculation. Second, the default spectrum was optimized by using iteration algorithm. The two-step method was verified with a thermal neutron reactor VENUS-3 and a fast neutron reactor BN-600. Comparison of mean square error (MSE) between this method and the traditional unfolding method showed reduction of 83.4% and 85.6% on VENUS-3 and BN-600 respectively, and average relative deviation (ARD) reduction of 89.3% and 86.1% respectively. Also, comparison of spectrum quality (Qs) showed reduction of 83.4% and 86.0% respectively for the two cases. This work demonstrated that the developed two-step method could obtain the better accuracy than traditional method. (C) 2019 Elsevier Ltd. All rights reserved. |
| WOS关键词 | DESIGN |
| 资助项目 | National Key R&D Program of China[2018YFB1900601] ; Informatization Project of Chinese Academy of Sciences[XXH13506-104] ; project of HIPS[KP-2017-19] ; Young Elite Scientists Sponsorship Program by CAST[2017QNRC001] ; Special Project of Youth Innovation Promotion, Association of Chinese Academy of Sciences and Industrialization Fund ; project of Anhui province[201903c08020003] ; project of Anhui province[201903c08020012] |
| WOS研究方向 | Nuclear Science & Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000517662400035 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | National Key R&D Program of China ; Informatization Project of Chinese Academy of Sciences ; project of HIPS ; Young Elite Scientists Sponsorship Program by CAST ; Special Project of Youth Innovation Promotion, Association of Chinese Academy of Sciences and Industrialization Fund ; project of Anhui province |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/103929]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Wu, Yican |
| 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.Univ Sci & Technol China, Hefei 230027, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cao, Chenglong,Gan, Quan,Song, Jing,et al. A two-step neutron spectrum unfolding method for fission reactors based on artificial neural network[J]. ANNALS OF NUCLEAR ENERGY,2020,139. |
| APA | Cao, Chenglong,Gan, Quan,Song, Jing,Long, Pengcheng,Wu, Bin,&Wu, Yican.(2020).A two-step neutron spectrum unfolding method for fission reactors based on artificial neural network.ANNALS OF NUCLEAR ENERGY,139. |
| MLA | Cao, Chenglong,et al."A two-step neutron spectrum unfolding method for fission reactors based on artificial neural network".ANNALS OF NUCLEAR ENERGY 139(2020). |
入库方式： OAI收割
来源：合肥物质科学研究院
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