Issue |
EPJ Web Conf.
Volume 247, 2021
PHYSOR2020 – International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future
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Article Number | 18005 | |
Number of page(s) | 7 | |
Section | Fusion Reactor Technology | |
DOI | https://doi.org/10.1051/epjconf/202124718005 | |
Published online | 22 February 2021 |
https://doi.org/10.1051/epjconf/202124718005
PERFORMANCE STUDY OF GLOBAL WEIGHT WINDOW GENERATOR BASED ON PARTICLE DENSITY UNIFORMITY
1 Key Laboratory of Neutronics and Radiation Safety, Institute of Nuclear Energy Safety Technology, Chinese Academy of Sciences, Hefei, Anhui, 230031, China
2 Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
peng.he@fds.org.cn
bin.wu@fds.org.cn
lijuan.hao@fds.org.cn
guangyao.sun@fds.org.cn
bin.li@fds.org.cn
ulrich.fischer@kit.edu
Published online: 22 February 2021
The variance reduction techniques are necessary for Monte Carlo calculations in which obtaining a detailed calculation result for a large and complex model is required. The GVR method named as global weight window generator (GWWG) was proposed by the FDS team. In this paper, two typical calculation examples, ISPRA-Fe benchmark in SINBAD (Shielding Integral Benchmark Archive Database) and TF Coils (Toroidal Field coils) of European HCPB DEMO (Helium Cooled Pebble Bed demonstration fusion plant), are used to study the performance of GWWG method. It can be seen from the calculation results that the GWWG method has a significant effect in accelerating the Monte Carlo calculation. Especially when the global convergence calculation results are needed, the acceleration effect (FOMG) can reach 105 or more. It proves that the GWWG method is an effective tool for deep-penetration simulations using Monte Carlo method.
Key words: SuperMC / Global variance reduction / Monte Carlo / Particle transport
© The Authors, published by EDP Sciences, 2021
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