Predicting crack patterns in SiC-based cladding for LWR applications using peridynamics
Predicting crack patterns in SiC-based cladding for LWR applications using peridynamics
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使用近场动力学预测轻水堆应用中碳化硅包壳的裂纹模式
DOI:
10.1016/j.prostr.2020.10.125
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Bamgboye A
中科院分区:
文献类型:
--
作者:
Bamgboye A
SiC continuous fibre reinforced SiC matrix (SiC-SiC) composites are a proposed material for accident tolerant fuel cladding. Thermomechanical models of SiC-based cladding under light water conditions indicate that microcracking in the radial direction of the tubing may lead to a loss of hermicity. SiC-based tubing is known to have anisotropic elastic properties but the effect of this anisotropy have not been incorporated into existing thermomechanical models of clad cracking. This work augments an existing isotropic 2D peridynamic model of cracking and damage in ther-θplane of a SiC-based cladding to account for the orthotropic elastic properties of SiC-SiC composite tubing. Three SiC-based architectures are modelled under normal operating conditions of a UO2-fuelled pressurised water reactor (PWR). The results of the anisotropic SiC-cladding model are compared with the results of the isotropic model, and the sensitivity of results to material anisotropy, thermal conductivity, and applied linear power rating are analysed.The results of this analysis show that anisotropy has a significant effect on the damage and crack patterns observed in ther-θplane of SiC-based cladding, if either an inner or outer monolith is present. The anisotropic model predicts more cracks in two layer clad with an inner monolith and higher levels of damage in a two layer clad with an outer monolith than the isotropic model. Under normal reactor conditions the outer monolith clad architecture was found to remain hermetic.
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影响因子:
3.1
作者:
R. Mella;M. Wenman
通讯作者:
R. Mella;M. Wenman
影响因子:
7.2
作者:
Beckmann R
通讯作者:
Beckmann R
DOI:
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发表时间:
1972
期刊:
影响因子:
--
作者:
L. Ford;N. Hibbert;D. G. Martin
通讯作者:
D. G. Martin
DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
Wei Li;K. Shirvan
通讯作者:
K. Shirvan
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
Gyanender Singh;S. Gonczy;C. Deck;E. Lara‐Curzio;Y. Katoh
通讯作者:
Y. Katoh