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Influence of input data uncertainties on failure probability of TRISO-coated particle
Annals of Nuclear Energy ( IF 1.9 ) Pub Date : 2021-07-20 , DOI: 10.1016/j.anucene.2021.108561
Jian Li 1 , Jun Sun 1 , Ding She 1 , Lei Shi 1
Affiliation  

TRISO coated particle fuel exhibits statistical variations and large uncertainties in physical configurations and material properties from particle to particle. Besides, the dependence of mechanical behavior and failure mechanism of the coating layer on multiple variables (such as density, porosity, anisotropy, fluence and temperature) further increase the complexity of TRISO fuel performance analysis. Consequently, the particle failure probability would change in a relatively wide range. In this paper, we evaluate the effect of input data uncertainties on particle failure probability. First, uncertainty ranges of input data are determined based on literature review and irradiation conditions. Second, a perturbation study on dimensional parameters and material properties is performed. Finally, variation ranges of failure probability upon different input parameters are determined. Results show that the failure rate is sensitive to kernel diameter, SiC thickness and irradiation-induced material properties.



中文翻译:

输入数据不确定性对 TRISO 涂层颗粒失效概率的影响

TRISO 涂层颗粒燃料在物理配置和材料特性方面表现出统计变化和很大的不确定性。此外,涂层的力学行为和失效机制对多个变量(如密度、孔隙率、各向异性、注量和温度)的依赖性进一步增加了 TRISO 燃料性能分析的复杂性。因此,颗粒失效概率会在相对较宽的范围内变化。在本文中,我们评估了输入数据不确定性对粒子失效概率的影响。首先,根据文献综述和辐照条件确定输入数据的不确定性范围。其次,对尺寸参数和材料特性进行微扰研究。最后,确定不同输入参数下失效概率的变化范围。结果表明,故障率对内核直径、SiC 厚度和辐照诱导的材料特性很敏感。

更新日期:2021-07-20
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