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A Low Cost Qualitative/Quantitative System for Wet Stored Nuclear Fuel

机译:湿式核燃料的低成本定性/定量系统

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In an effort to analyze spent nuclear fuel via in-pool surveys to yield information on fission products, actinide and SNM content for burnup, as well as support materials control and accountability, and non-proliferation and safeguards verification missions, we developed a low cost experimental procedure using gamma spectroscopy and a fully developed synthetic resolution enhancement algorithm. Using a PuBe neutron source, we activated a natural uranium fuel slug in a water filled container, and gathered gamma spectra using a NaI scintillator detector set flush with the container wall to measure the radiation emitted from the fuel rod in wet storage. Using Monte Carlo and deterministic adjoint calculations coupled with gamma spectrum test data, we determined a procedure for quantitative and qualitative evaluation of fission products and actinides, enabling a z-axis-dependent fuel burnup assessment. In addition, safety protocols and dose maps were determined for complete exposure documentation. The NaI spectral information was post processed by SmartID-XP ('SmartID') software to yield numerical data enhancement, where Smart-ID extracts photopeaks to synthetically augment a realized resolution and enable gamma line identification that, if unassisted by the algorithm software, would not be possible. Combining the post-processed spectral data with adjoint importance results will enable quantitative estimation of actinides and fission products in the irradiated sample fuel. This paper will highlight the experimental, computational, and algorithm applications in this work, directly enabling a low-cost system for qualitative and quantitative spent fuel analysis.
机译:为了通过在线调查分析乏核燃料,以获取有关裂变产物,act系元素和SNM含量以进行燃耗以及辅助材料控制和责任制以及不扩散和保障核查任务的信息,我们开发了低成本的使用伽玛光谱的实验程序和全面开发的合成分辨率增强算法。使用PuBe中子源,我们在装满水的容器中激活了天然铀燃料块,并使用与容器壁齐平的NaI闪烁体探测器收集了伽马光谱,以测量湿储存中燃料棒发出的辐射。使用蒙特卡洛和确定性伴随计算,再加上伽马能谱测试数据,我们确定了对裂变产物和act系元素进行定量和定性评估的程序,从而能够进行与z轴相关的燃料燃耗评估。此外,确定了安全规程和剂量图以用于完整的暴露文档。 NaI光谱信息由SmartID-XP('SmartID')软件进行后处理,以产生数值数据增强效果,其中Smart-ID提取光峰以综合增强实际分辨率,并实现伽玛谱线识别,如果没有算法软件的帮助,则可以进行识别不可能的。将后处理的光谱数据与伴随的重要结果结合起来,将能够定量估计辐照样品燃料中的act系元素和裂变产物。本文将重点介绍这项工作中的实验,计算和算法应用程序,从而直接启用用于定性和定量乏燃料分析的低成本系统。

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