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A study into the propagation of the uncertainties in nuclear data to the nuclear concentrations of nuclides in burn-up calculations

机译:在燃烧计算中核数据中不确定性对核浓度的研究

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The key papers on estimating the uncertainties in nuclear data deal with the influence of these uncertainties on the effective multiplication factor by introducing the so-called sensitivity factors and only some of these are concerned with the influence of such uncertainties on the life calculation results. On the other hand, the uncertainties in reaction rates, the neutron flux, and other quantities may lead to major distortions in findings, this making it important to be able to determine the influence of uncertainties on the nuclear concentrations of nuclides in their burn-up process. The possibility for the neutron flux and reaction rate uncertainties to propagate to the nuclear concentrations of nuclides obtained as part of burn-up calculations are considered using an example of a MOX-fuel PWR reactor cell. To this end, three burn-up calculation cycles were performed, and the propagation of uncertainties was analyzed. The advantages of the uncertainty estimation method implemented in the VisualBurnOut code consists in that all root-mean-square deviations are obtained as part of one calculation as the statistical method, e.g. GRS (Generation Random Sampled), requires multiple calculations. The VisualBurnOut calculation results for the root-mean-square deviations in nuclear concentrations were verified using a simple model problem. It is shown that there is a complex dependence of the propagation of the root-mean-square deviations in the nuclear concentrations of nuclides in the process of fuel burn-up, and, therefore, further studies need to aim at investigating the influence of uncertainties in nuclear data on the nuclear concentrations of nuclides.
机译:通过引入所谓的灵敏度因素,核数据估算核数据处理对核数据不确定性的关键论文通过引入所谓的敏感因素,只关注这些不确定性对生命计算结果的影响。另一方面,反应速率,中子磁通量和其他数量的不确定性可能导致调查结果中的重大扭曲,这使得能够确定不确定性对核肉核浓度的影响过程。使用Mox-Fuel PWR反应器细胞的实例考虑了作为作为烧伤计算的一部分获得的核浓度的中子通量和反应速率不确定性的可能性。为此,进行三个刻录计算周期,分析了不确定性的传播。在VisualBurnout码中实现的不确定性估计方法的优点在于,作为一个计算的一部分作为统计方法,例如统计方法获得所有根平均方偏差,例如,例如统计方法。 GRS(生成随机采样)需要多重计算。使用简单模型问题验证了核浓度的根均方偏差的VisualBurnout计算结果。结果表明,在燃料燃烧过程中核浓度的核浓度核浓度的传播存在复杂的依赖性,因此,进一步的研究需要旨在调查不确定性的影响在核浓度的核浓度的核数据中。

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