全局减方差方法在乏燃料干式贮存容器屏蔽计算中的应用

Application of Global Variance Reduction Method to Spent Fuel Dry Storage Cask Shielding Calculation

  • 摘要: 开发了基于离散纵标(SN)方法的蒙特卡罗(MC)全局减方差方法,针对乏燃料干式贮存容器,分别建立了中子源及光子源MC直接计算模型、SN计算模型及全局减方差方法计算模型,并进行了计算精度和效率的比较。数值结果表明,全局减方差方法计算结果与无偏的MC及SN计算结果相比吻合良好。其中SN计算的次级光子剂量率与全局减方差方法计算的偏差较大,这主要是由于MC计算和SN计算时的数据库差异导致的。和无偏的MC结果相比,全局减方差方法计算的中子及次级光子输运计算收敛效率提高了近2个数量级,初级光子输运计算收敛效率提高了1~2个数量级。

     

    Abstract: The Monte Carlo (MC) global variance reduction (GVR) method based on discrete ordinate (SN) method was developed. Spent fuel dry storage cask shielding calculation model was established, including forward MC model, SN model and GVR method model, and the calculation accuracy and efficiency were compared. Numerical results show that the results of GVR method agree well with unbiased MC calculation results and SN calculation results. The deviation of secondary gamma-ray dose rate between GVR method and SN method is large for the difference of cross-section libraries. Compared with unbiased MC method, the neutron and secondary gamma-ray transport computational efficiencies of GVR method are improved about 2 orders, and the primary gamma-ray transport computational efficiency is increased about 1-2 orders.

     

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