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Implementation of Depletion Architecture in the MAMMOTH Reactor Physics Application

机译:在Mammoth反应器物理应用中实现耗尽架构

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Nuclear fuel experiments conducted at the Transient Reactor Test Facility (TREAT) willbe analyzed with the MAMMOTH reactor physics application, currently under developmentat Idaho National Laboratory. MAMMOTH natively couples with the BISON,RELAP-7, and Rattlesnake applications within the MOOSE framework. The methodscurrently implemented allow for simulating the irradiation of fuel from the beginning oflife in a nuclear reactor until it is placed in TREAT for fuel testing using the same finiteelement mesh throughout the analysis thereby retaining a very high level of resolutionand fidelity. The calculation of the isotopic distribution in fuel requires the solution to thedecay and transmutation equations coupled to the neutron transport equation. This workfocuses on two significant improvements to the MAMMOTH micro-depletion capability.First, the depletion architecture within MAMMOTH is modified to improve the flexibilityand speed of burnup calculations. The results of various benchmark tests demonstrate theaccuracy of the modified implementation. The second improvement involves the expansionof the data functionality. MAMMOTH can now read the decay data files used bythe Oak Ridge Isotope Generation (ORIGEN) code, thus enabling access to data of morethan 1,600 isotopes. Comparison of ORIGEN and MAMMOTH for a selected benchmarkproblem was performed. Both codes yield very similar results, with differences of 0.03%that can be attributed to differences in precision between the two codes. Future work willfocus on comparisons between MAMMOTH and ORIGEN for more complex problems.
机译:在瞬态反应器测试设施(治疗)中进行的核燃料实验将用目前正在开发的Mammoth反应器物理应用分析在爱达荷州国家实验室。猛犸象本身夫妇与北美野牛,RELAP-7,驼鹿框架内的响铃应用。方法目前实施的允许模拟从开始开始的燃料照射在核反应堆中的生命,直到使用相同的有限性将其放置在燃料测试中的治疗中在整个分析中元素网格,从而保留了非常高的分辨率和忠诚。燃料中同位素分布的计算需要解决方案耦合到中子传输方程的衰减和嬗变方程。这项工作专注于猛犸微耗尽能力的两个显着改善。首先,修改了猛犸象内的耗尽架构以提高灵活性和燃烧的计算速度。各种基准测试的结果证明了修改实施的准确性。第二种改进涉及扩张数据功能。猛犸象现在可以读取衰减数据文件橡树岭同位素生成(Origen)代码,从而能够访问更多的数据超过1,600名同位素。对所选基准的ORIGEN和MAMMOTH的比较问题进行了问题。两种代码产生非常相似的结果,差异为0.03%这可以归因于两种代码之间的精度差异。未来的工作将是专注于猛犸象与源于更复杂问题的比较。

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