Inversion of the fracture toughness of zirconium alloy cladding interface in nuclear fuel using splitting method via general regression neural network

For nuclear fuel elements, the interface mechanical properties of zirconium alloy cladding is critical to the safety and reliability of reactors. However, due to the small thickness of the fuel plates (

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Bibliographic Details
Published in:Journal of nuclear materials 2025-02, Vol.605, p.155573, Article 155573
Main Authors: Zhou, Yubo, Dong, Yingxuan, Ma, Haojun, Lv, Junnan, Li, Qun
Format: Article
Language:English
Subjects:
Cohesive zone model
Generalized Regression Neural Network (GRNN)
Interface fracture toughness
Splitting experiment
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Description
Summary:For nuclear fuel elements, the interface mechanical properties of zirconium alloy cladding is critical to the safety and reliability of reactors. However, due to the small thickness of the fuel plates (
ISSN:0022-3115
DOI:10.1016/j.jnucmat.2024.155573