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首页> 外文会议>International Topical Meeting on Nuclear Reactor Thermal Hydraulics >PyNE sub-voxel R2S for shutdown dose rate analysis
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PyNE sub-voxel R2S for shutdown dose rate analysis

机译：Pyne Sub-Voxel R2S用于关闭剂量率分析

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In fusion energy systems, high-energy neutrons born during operation cause activationof materials and result in decay photons after shutdown. The accurate assessment ofthe shutdown dose rate (SDR) caused by these photons plays an important role in thepersonnel safety during the maintenance of the fusion system. The computation of SDRcan be done by the “rigorous two-step” (R2S) method. The assumption of homogenizedmaterials throughout the voxel during mesh-based R2S introduces a modeling error inthe case where a voxel covers multiple non-void cells. This paper focuses on a methodto add fidelity to the process of activation and photon source sampling by performingindependent activation calculations for each cell within a mesh voxel, and using the resultsof those independent calculations to sample the photon source more precisely. A sub-voxel R2S workflow has been created based on the PyNE R2S implementation. Thebenefit of PyNE sub-voxel R2S over voxel R2S is demonstrated with a contrived problem.The PyNE sub-voxel R2S has been validated with the Frascati Neutron Generator (FNG)-ITER SDR benchmark using Cartesian meshes. The results of the sub-voxel R2S showa satisfactory agreement with the experimental values. The sensitivity of the SDR tothe mesh resolution is analyzed, showing that the SDR of sub-voxel R2S converges withcoarser mesh than voxel R2S. The performances of the voxel and sub-voxel R2S arecompared, showing that sub-voxel R2S uses slightly more CPU time and memory thanvoxel R2S. The results of the benchmark and the contrived problem reveal that the sub-voxel R2S can obtain more accurate results with the same voxel size.
机译：在融合能源系统中，在运行期间出生的高能量中子导致激活关机后的材料并导致衰减光子。准确评估由这些光子引起的关断剂量率（SDR）在此中起着重要作用维护融合系统期间的人员安全。 SDR的计算可以通过“严格的两步”（R2S）方法来完成。假设均质化在基于网格的R2S期间，整个体素的材料引入了建模错误voxel覆盖多个非空隙细胞的情况。本文侧重于一种方法通过执行将保真度添加到激活和光子源采样的过程中网格体素内的每个单元的独立激活计算，并使用结果在那些独立的计算中更精确地样本光子源。一个Voxel R2S工作流程是根据Pyne R2S实现创建的。这通过一个创作的问题对吡克氏素R2S进行体血压素r2s的益处。Pyne Sub-Voxel R2S已用Frascati中子发生器（FNG）验证 - 使用Cartesian网格的ITER SDR基准。亚体素r2s显示的结果与实验值令人满意的协议。 SDR的敏感性分析网状分辨率，显示子体素R2S的SDR会聚比voxel r2s粗糙网。体素和亚体素R2s的性能是比较，显示子体素R2S使用稍微更多的CPU时间和内存Voxel R2S。基准的结果和创作的问题揭示了子Voxel R2S可以通过相同的体素大小获得更准确的结果。

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