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Global variance reduction method for global Monte Carlo particle transport simulations of CFETR 被引量:4
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作者 Xing-Chen Nie Jia Li +6 位作者 Song-Lin Liu Xiao-Kang Zhang Ping-Hui Zhao Min-You Ye german vogel Xiao Yang Qing-Jun Zhu 《Nuclear Science and Techniques》 SCIE CAS CSCD 2017年第8期126-132,共7页
It can be difficult to calculate some under-sampled regions in global Monte Carlo radiation transport calculations. The global variance reduction(GVR) method is a useful solution to the problem of variance reduction e... It can be difficult to calculate some under-sampled regions in global Monte Carlo radiation transport calculations. The global variance reduction(GVR) method is a useful solution to the problem of variance reduction everywhere in a phase space. In this research, a GVR procedure was developed and applied to the Chinese Fusion Engineering Testing Reactor(CFETR). A cylindrical CFETR model was utilized for comparing various implementations of the GVR method to find the optimum.It was found that the flux-based GVR method could ensure more reliable statistical results, achieving an efficiency being 7.43 times that of the analog case. A mesh tally of the scalar neutron flux was chosen for the GVR method to simulate global neutron transport in the CFETR model.Particles distributed uniformly in the system were sampled adequately through ten iterations of GVR weight window.All voxels were scored, and the average relative error was 2.4% in the ultimate step of the GVR iteration. 展开更多
关键词 方差 模拟 粒子输运 GCR 辐射输运 蒙特卡洛 空间问题 聚变工程
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