A two-step neutron spectrum unfolding method for fission reactors based on artificial neural network

doi:10.1016/j.anucene.2019.107219

HFCAS OpenIR

	A two-step neutron spectrum unfolding method for fission reactors based on artificial neural network
	Cao, Chenglong 1,2; Gan, Quan 1; Song, Jing 1; Long, Pengcheng 1; Wu, Bin1 ; Wu, Yican1
	2020-05-01
发表期刊	ANNALS OF NUCLEAR ENERGY
ISSN	0306-4549
通讯作者	Wu, Yican(yican.wu@fds.org.cn)
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.
关键词	Neutron spectrum unfolding Two-step method Artificial neural network Iteration algorithm
DOI	10.1016/j.anucene.2019.107219
关键词[WOS]	DESIGN
收录类别	SCI
语种	英语
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]
项目资助者	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
WOS研究方向	Nuclear Science & Technology
WOS类目	Nuclear Science & Technology
WOS记录号	WOS:000517662400035
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/103930
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
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	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).