首页> 外文会议>Mathematics and Computations, Supercomputing in Nuclear Applications and Monte Carlo International Conference >ACCELERATION OF SHUTDOWN DOSE RATE MONTE CARLO CALCULATIONS USING THE MULTI-STEP CADIS HYBRID METHOD
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ACCELERATION OF SHUTDOWN DOSE RATE MONTE CARLO CALCULATIONS USING THE MULTI-STEP CADIS HYBRID METHOD

机译:使用多步CADI混合方法加速关闭剂量率蒙特卡罗计算

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Shutdown dose rate (SDDR) analysis requires (1) a neutron transport calculation to estimate space- and energy-dependent neutron fluxes, (2) an activation calculation to compute the distribution of radionuclide inventories and the associated photon sources, and (3) a photon transport calculation to estimate the final SDDR. In some applications, accurate full-scale Monte Carlo (MC) SDDR simulations are needed for immensely large systems that involve massive amounts of shielding materials with complex geometric arrangements. However, these simulations are impractical because accurate calculation of space- and energy-dependent neutron fluxes in these systems is difficult with the MC method even if global variance reduction techniques are used. This paper describes the Multi-Step Consistent Adjoint Driven Importance Sampling (MS-CADIS) hybrid MC/deterministic methodology that accelerates multi-step MC shielding calculations. MS-CADIS speeds up the SDDR neutron MC calculation using an importance function that represents the neutron importance to the final SDDR. Using a simplified example, preliminary results showed that the MS-CADIS method enhanced the efficiency of the SDDR neutron MC calculation by a factor of 550 compared to standard global variance reduction techniques, and that the efficiency enhancement compared to analog MC is higher than a factor of 10,000.
机译:关闭剂量率(SDDR)分析需要(1)中子传输计算,以估计空间和能量依赖的中子丝量,(2)激活计算以计算放射性核素库存和相关光子源的分布,以及(3)a光子运输计算估算最终SDDR。在某些应用中,对于大量大型系统需要精确的全尺寸蒙特卡罗(MC)SDDR模拟,其涉及具有复杂几何布置的大量屏蔽材料。然而,这些模拟是不切实际的,因为即使使用全局方差还原技术,MC方法也难以计算这些系统中的空间和能量依赖中子通量的精确计算。本文介绍了加速多步MC屏蔽计算的多步一致伴随驱动的重要性采样(MS-CADIS)混合MC /确定方法。 MS-CADIS使用表示最终SDDR的中子重要性的重要性函数加速SDDR中子MC计算。使用简化的示例,初步结果表明,与标准全局方差减少技术相比,MS-CADIS方法通过550系列增强了SDDR中子MC计算的效率,并且与模拟MC相比的效率增强高于一个因素10,000。

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