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CROSS-EVALUATION OF HIGHLY ENRICHED METAL URANIUM FAST CRITICALITY EXPERIMENTS

机译:高度富集金属铀快速关键性实验的交叉评价

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Criticality experiments are the foundation of the criticality safety validation, the reactor parameter prediction and the nuclear data validation. Criticality experiments have been used in the field of nuclear data adjustment in the last decades. In applications like criticality safety validations and nuclear data adjustments, many criticality experiments are used together in one application. In practice, experts found that some experiments have bad influence in nuclear data adjustments, and they excluded them in these applications. But the reason why these experiments should be excluded is not clear. To give these exclusion a clear physical explanation, we have developed the cross-evaluation method, which could evaluate the random biases of the experimental results by analyzing the C ? E (Calculation result - Experiment result) values of similar experiments. In this paper, we use the cross-evaluation method to assess the random biases of some highly enriched metal uranium fast criticality experiments. By the cross-evaluation method, experts could choose criticality experiments which should be used in the applications of criticality safety validations or nuclear data adjustments, and might find the reason why some experiments should be excluded in applications of nuclear data adjustments.
机译:关键性实验是临界安全验证,反应堆参数预测和核数据验证的基础。在过去几十年中,核数据调整领域已使用临界实验。在临界安全验证和核数据调整等应用中,许多关键性实验在一个应用中一起使用。在实践中,专家发现一些实验对核数据调整影响不佳,并且在这些应用中排除了它们。但是应该排除这些实验的原因并不清楚。为了使这些排除发出明确的物理解释,我们开发了交叉评估方法,可以通过分析C的分析来评估实验结果的随机偏差。 E(计算结果 - 实验结果)类似实验的值。在本文中,我们使用交叉评估方法来评估一些高度富集的金属铀快速界定实验的随机偏差。通过交叉评估方法,专家可以选择应在关键性安全验证或核数据调整的应用中使用的关键性实验,并且可能会发现一些实验应在核数据调整申请中排除一些实验。

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