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Isotopic uncertainty assessment due to nuclear data uncertainties in high-burnup samples.

机译:由于高燃耗样品中的核数据不确定性而导致的同位素不确定性评估。

摘要

The accurate prediction of the spent nuclear fuel content is essential for its safe and optimized transportation, storage and management. This isotopic evolution can be predicted using powerful codes and methodologies throughout irradiation as well as cooling time periods. However, in order to have a realistic confidence level in the prediction of spent fuel isotopic content, it is desirable to determine how uncertainties affect isotopic prediction calculations by quantifying their associated uncertainties.
机译:对乏核燃料含量的准确预测对于其安全和优化的运输,存储和管理至关重要。在整个辐照以及冷却时间段内,可以使用功能强大的代码和方法来预测同位素的演化。但是,为了在乏燃料同位素含量的预测中具有现实的置信度,希望通过量化不确定性如何影响同位素预测计算来确定不确定性。

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