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	Biasing transition rate method based on direct MC simulation for probabilistic safety assessment
	Pan, Xiao-Lei1; Wang, Jia-Qun2; Yuan, Run2; Wang, Fang2; Lin, Han-Qing2; Hu, Li-Qin2; Wang, Jin2
刊名	NUCLEAR SCIENCE AND TECHNIQUES
	2017-07-01
卷号	28期号:7页码:1-6
关键词	Direct Monte Carlo Simulation Probabilistic Safety Assessment Biasing Transition Rate Method
DOI	10.1007/s41365-017-0255-2
文献子类	Article
英文摘要	Direct Monte Carlo (MC) simulation is a powerful probabilistic safety assessment method for accounting dynamics of the system. But it is not efficient at simulating rare events. A biasing transition rate method based on direct MC simulation is proposed to solve the problem in this paper. This method biases transition rates of the components by adding virtual components to them in series to increase the occurrence probability of the rare event, hence the decrease in the variance of MC estimator. Several cases are used to benchmark this method. The results show that the method is effective at modeling system failure and is more efficient at collecting evidence of rare events than the direct MC simulation. The performance is greatly improved by the biasing transition rate method.
WOS关键词	MONTE-CARLO ; COMPENSATORS ; OPTIMIZATION ; BLANKET
WOS研究方向	Nuclear Science & Technology ; Physics
语种	英语
WOS记录号	WOS:000402896500002
资助机构	Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; XXH12504-1-09) ; XXH12504-1-09) ; XXH12504-1-09) ; XXH12504-1-09) ; XXH12504-1-09) ; XXH12504-1-09) ; XXH12504-1-09) ; XXH12504-1-09) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Special Projects of International Thermonuclear Experimental Reactor(2015GB116000) ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Chinese Academy of Sciences(XDA03040000 ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(2014FXCX004) ; XXH12504-1-09) ; XXH12504-1-09) ; XXH12504-1-09) ; XXH12504-1-09) ; XXH12504-1-09) ; XXH12504-1-09) ; XXH12504-1-09) ; XXH12504-1-09)
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/31960]
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	1.Univ Sci & Technol China, Hefei 230027, Peoples R China 2.Chinese Acad Sci, Inst Nucl Energy Safety Technol, Key Lab Neutron & Radiat Safety, Hefei 230031, Peoples R China
推荐引用方式 GB/T 7714	Pan, Xiao-Lei,Wang, Jia-Qun,Yuan, Run,et al. Biasing transition rate method based on direct MC simulation for probabilistic safety assessment[J]. NUCLEAR SCIENCE AND TECHNIQUES,2017,28(7):1-6.
APA	Pan, Xiao-Lei.,Wang, Jia-Qun.,Yuan, Run.,Wang, Fang.,Lin, Han-Qing.,...&Wang, Jin.(2017).Biasing transition rate method based on direct MC simulation for probabilistic safety assessment.NUCLEAR SCIENCE AND TECHNIQUES,28(7),1-6.
MLA	Pan, Xiao-Lei,et al."Biasing transition rate method based on direct MC simulation for probabilistic safety assessment".NUCLEAR SCIENCE AND TECHNIQUES 28.7(2017):1-6.

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