A New Global Variance Reduction Technique Based on Geometry and Energy Splitting/Roulette

Author(s):  
Z. Zheng ◽  
R. Li ◽  
Y. Zhou ◽  
Q. Mei ◽  
L. Deng

Abstract With the increase of computer resources and the application of global variance reduction (GVR) method, it is a trend to obtain global distribution using the Monte Carlo (MC) method in deep-penetration shielding calculation. GVR technique uses biased source and weight window to decrease the MC calculation tally error for deep-penetration problems. However, excessive splitting of large weight particles out of the source region is time-consuming for problems with significant fluence rate variation. A new GVR technique, which performs space and energy splitting/roulette based on the importance of the phase space, is proposed in this paper to avoid excessive splitting of large weight particles. The improved GVR technique is applied to the H. B. Robinson Unit 2 (HBR-2) benchmark and CAP1400 dose rate distribution calculation. Numerical results show that the new GVR technique shows excellent performance for deep-penetration shielding calculation.

2021 ◽  
Vol 247 ◽  
pp. 18005
Author(s):  
Peng He ◽  
Bin Wu ◽  
Lijuan Hao ◽  
Guangyao Sun ◽  
Bin Li ◽  
...  

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.


2017 ◽  
Vol 324 ◽  
pp. 18-26 ◽  
Author(s):  
Tao Shi ◽  
Jimin Ma ◽  
Hongwen Huang ◽  
Youheng Qiu ◽  
Zhenghong Li ◽  
...  

2021 ◽  
Vol 151 ◽  
pp. 107958
Author(s):  
Tao Shi ◽  
Hui Li ◽  
Qianxue Ding ◽  
Mengqi Wang ◽  
Zheng Zheng ◽  
...  

2017 ◽  
Vol 36 (6) ◽  
pp. 204-212 ◽  
Author(s):  
Xingchen Nie ◽  
Jia Li ◽  
Yuxiao Wu ◽  
Hengquan Zhang ◽  
Songlin Liu ◽  
...  

2011 ◽  
Vol 38 (11) ◽  
pp. 2496-2503 ◽  
Author(s):  
A.J. van Wijk ◽  
G. Van den Eynde ◽  
J.E. Hoogenboom

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