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A Journal of Russian Academy of Sciences
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IssuesArchive of Issues2025-7pp.6466-6477

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Binxia Yuan, Minghan Wei, Fulei Li, Rui Zhu, and Jianping Tan, "Prediction for Axial Creep Life of Zirconium Alloy Tubes," Mech. Solids. 60 (7), 6466-6477 (2025)
Year 2025 Volume 60 Number 7 Pages 6466-6477
DOI 10.1134/S0025654425604951
Title Prediction for Axial Creep Life of Zirconium Alloy Tubes
Author(s) Binxia Yuan (College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, 200090 China, yuanbinxia100@163.com)
Minghan Wei (College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, 200090 China)
Fulei Li (CGN Cangnan Nuclear Power Co., Ltd., Cangnan, Zhejiang, 3258002 China)
Rui Zhu (College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, 200090 China, zhuruish@163.com)
Jianping Tan (School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237 China, jptan@ecust.edu.cn)
Abstract Zirconium alloys are the predominant cladding materials in current nuclear reactors, and their creep behavior under high temperature plays a decisive role in structural safety. Meanwhile, it is crucial to obtain accurate creep predictions based on a small amount of data due to the limited data and high testing costs of creep experiments. In the study, the axial creep behavior of Zr alloy tubes was tested on a Zwick universal testing platform at 350°C under different loads. To improve both the physical consistency and predictive accuracy of the model, a sinh-type constitutive equation was adopted, and model parameter identification together with uncertainty quantification was carried out using Bayesian inference and the Markov Chain Monte Carlo (MCMC) algorithm. This framework yields fully probabilistic predictions, including lifetime credible intervals. The results demonstrate that the model not only accurately captures the experimental data, but also exhibits strong extrapolation capability and reliability in the low-stress regime. Thus, this study achieves material life prediction through constitutive modeling and probabilistic inference framework.
Keywords zirconium alloy, axial creep, constitutive modeling, Bayesian inference, life prediction
Received 10 September 2025Revised 05 November 2025Accepted 06 November 2025
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