多种减方差技术在电子辐照加速器屏蔽计算中的组合应用效果评估

doi:10.11889/j.0253-3219.2018.hjs.41.030201

Nuclear Techniques ›› 2018, Vol. 41 ›› Issue (3): 30201-030201.doi: 10.11889/j.0253-3219.2018.hjs.41.030201

• LOW ENERGY ACCELERATOR, RAY AND APPLICATIONS • Previous Articles Next Articles

The assessment for the effects of multiple combined variance reduction techniques in shielding computation on an electron irradiation accelerator

CUI Tiantian^1,2, ZHANG Shuyuan¹, SUN Liang¹, LU Jieping¹

1. School of Radiological Medicine and Protection, Medical College of Soochow University, Suzhou 215123, China;
2. CGN Dasheng Electron Accelerator Technology Company, Suzhou 215214, China

Received:2017-05-18 Revised:2017-09-29 Online:2018-03-10 Published:2018-03-14
Supported by:
Supported by Project of International Thermonuclear Experimental Reactor (No.2014GB112006), National Natural Science Foundation of China (No.11575124)

Abstract

Abstract: [Background] Variance reduction is a common method to resolve the problems in deep penetration application such as radiation shielding, medical physics and well-logging. Currently, the study of the variance reduction techniques is based on simple theoretical geometric model, lacking the discussion on complex practical applications. [Purpose] This paper aims to find an optimized combined variance reduction technique in deep penetration application on the practical complex model. [Methods] With an electron irradiation accelerator as the model, this paper studied the effects of combined variance reduction techniques on MCNP5 (Monte Carlo N Particle Transport Code) platform, including geometry splitting, biasing the source, exponential transform, step-step transform, DXTRAN and weight window. [Result] The results showed that the irradiation products had a great influence on the angular distribution of spectrum of the new source, and the geometric model should not be overly simplified. Compared with other variance-reducing techniques, the step-step transform and biasing the source efficiency reduced the relative error and could get a better calculation efficiency combined with geometric splitting, exponential transform and DXTRAN. Weight window had better computation efficiency and more objectivity. [Conclusion] The step-step transform and biasing the source, combined with other variance reduction techniques can resolve deep penetration problem in complex practical application based on weight window.

Key words: Deep penetration, Variance reduction, Monte Carlo, Electron irradiation accelerator

CLC Number:

TL99

CUI Tiantian, ZHANG Shuyuan, SUN Liang, LU Jieping. The assessment for the effects of multiple combined variance reduction techniques in shielding computation on an electron irradiation accelerator[J].Nuclear Techniques, 2018, 41(3): 30201-030201.

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The assessment for the effects of multiple combined variance reduction techniques in shielding computation on an electron irradiation accelerator

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