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首页> 外文期刊>Annals of nuclear energy >Validation of the burn-up code EVOLCODE 2.0 with PWR experimental data and with a Sensitivity/Uncertainty analysis
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Validation of the burn-up code EVOLCODE 2.0 with PWR experimental data and with a Sensitivity/Uncertainty analysis

机译:使用PWR实验数据和灵敏度/不确定度分析验证燃耗代码EVOLCODE 2.0

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A validation of the burn-up simulation system EVOLCODE 2.0 is presented here, involving the experimental measurement of U and Pu isotopes and some fission fragments production ratios after a burn-up of around 30 GWd/tU in a Pressurized Light Water Reactor (PWR). This work provides an in-depth analysis of the validation results, including the possible sources of the uncertainties. An uncertainty analysis based on the sensitivity methodology has been also performed, providing the uncertainties in the isotopic content propagated from the cross sections uncertainties. An improvement of the classical Sensitivity/Uncertainty (S/U) model has been developed to take into account the implicit dependence of the neutron flux normalization, that is, the effect of the constant power of the reactor. The improved S/U methodology, neglected in this kind of studies, has proven to be an important contribution to the explanation of some simulation-experiment discrepancies for which, in general, the cross section uncertainties are, for the most relevant actinides, an important contributor to the simulation uncertainties, of the same order of magnitude and sometimes even larger than the experimental uncertainties and the experiment-simulation differences. Additionally, some hints for the improvement of the JEFF3.1.1 fission yield library and for the correction of some errata in the experimental data are presented.
机译:此处介绍了燃耗模拟系统EVOLCODE 2.0的验证,涉及在加压轻水反应堆(PWR)中燃耗约30 GWd / tU后对U和Pu同位素以及一些裂变碎片产生率的实验测量。 。这项工作提供了对验证结果的深入分析,包括不确定性的可能来源。还进行了基于敏感性方法的不确定性分析,提供了从横截面不确定性传播的同位素含量的不确定性。考虑到中子通量归一化的隐含依赖性,即反应堆恒定功率的影响,已开发出对经典灵敏度/不确定度(S / U)模型的改进。事实证明,在此类研究中被忽略的改进的S / U方法对于解释某些模拟-实验差异是重要的贡献,对于大多数相关的act系元素,横截面不确定性通常是重要的,对于这些模拟差异造成模拟不确定性的因素,数量级相同,有时甚至大于实验不确定性和实验模拟差异。此外,提出了一些改进JEFF3.1.1裂变产率库的提示,以及对实验数据中某些勘误的校正的提示。

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