首页> 外文会议>Proceedings of the Institute of Nuclear Materials Management (INMM) 46th annual meeting >Forward Model Calculations for Determining Isotopic Compositions of Materials Usedin a Radiological Dispersal Device
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Forward Model Calculations for Determining Isotopic Compositions of Materials Usedin a Radiological Dispersal Device

机译:用于确定放射分散设备中材料的同位素组成的正向模型计算

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In the event that a radiological dispersal device (RDD) is detonated in the U.S. or nearrnU.S. interests overseas, it will be crucial that the actors involved in the event can be identifiedrnquickly. If spent nuclear fuel is used as the material for the RDD, law enforcement officialsrnwill need information on the origin of the spent fuel. One signature which may lead to thernidentification of the spent fuel origin is the isotopic composition of the RDD debris. In orderrnto use this signature, it is necessary to have a well developed understanding of thernuncertainties in predicting the isotopic composition of spent nuclear fuel from fundamentalrnreactor physics calculations.rnThe objective of this research was to benchmark a Forward Model methodology forrnpredicting isotopic composition of spent nuclear fuel used in an RDD while at the same timernoptimizing the fidelity of the model to reduce computational time. The code used in thisrnstudy was Monteburns-2.0. Monteburns is a Monte Carlo based neutronic code utilizing bothrnMCNP and ORIGEN. The size of the burnup step used in Monteburns was tested and foundrnto converge at a value of 3,160MWd/MT per step. To ensure a conservative answer,rn2,500MWd/MT per step was used for the benchmarking process. The model fidelity rangedrnfrom the following: 2-dimensional pin-cell, multiple radial-region pin-cell, modified pin-cell,rn2D assembly, and 3D assembly.rnThe results showed that while the multi-region pin-cell gave the highest level ofrnaccuracy, the difference in accuracy between it and the 2D pin-cell (0.07% for 235U) did notrnwarrant the additional computational time required (7 times that of 2D pin-cell). For thisrnreason, the 2D pin-cell at normal operating temperature and pressure was used to benchmarkrnthe isotopics with data from three other reactors. The isotopic concentrations from all three ofrnthe reactors showed good agreement with each other.rnThe SENTRY database at Los Alamos National Laboratory contains reactor data fromrnaround the world. Using the Forward Model methodology developed in this research, each ofrnthese reactors could be simulated and isotopics of spent fuel can be determined. If an RDDrnevent occurs, material can be collected and compared to the data from the Forward Modelrncalculations to determine the reactor of origin of the spent fuel.
机译:如果在美国或附近美国引爆了放射散布装置(RDD)。为了海外利益,迅速识别参与该活动的参与者至关重要。如果将乏核燃料用作RDD的材料,则执法人员将需要有关乏燃料来源的信息。 RDD碎片的同位素组成可能导致对乏燃料来源的识别。为了使用此签名,有必要对从基本反应堆物理计算中预测乏核燃料同位素组成的不确定性有深入的了解。本研究的目的是对正向模型方法进行基准测试,以预测乏核燃料的同位素组成在RDD中使用,同时优化模型的保真度以减少计算时间。本研究中使用的代码是Monteburns-2.0。 Monteburns是同时使用rnMCNP和ORIGEN的基于蒙特卡洛的中子代码。测试了Monteburns中使用的燃耗步骤的大小,发现其收敛于每步3,160MWd / MT的值。为了确保保守的答案,基准测试过程每步使用rn2,500MWd / MT。模型的保真度范围为:二维针单元,多个径向区域针单元,修改后的针单元,2D组装和3D组装。结果表明,当多区域针单元给出最高级别时,在精度方面,它与2D引脚单元之间的精度差异(对于235U为0.07%)不能保证所需的额外计算时间(2D引脚单元的7倍)。对于这个原因,使用正常工作温度和压力下的2D销钉电池,用来自其他三个反应堆的数据对同位素进行基准测试。来自三个反应堆的同位素浓度显示出良好的一致性。洛斯阿拉莫斯国家实验室的SENTRY数据库包含来自世界各地的反应堆数据。使用本研究中开发的正向模型方法,可以模拟每个反应堆并确定乏燃料的同位素。如果发生RDDrn事件,则可以收集物料并将其与正向模型计算的数据进行比较,以确定乏燃料的来源反应堆。

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