利用概率分布和伽马过程分析辐照脆化导致的 RPV 钢无延展性转变参考温度的变化

Metals Pub Date : 2024-05-15 DOI:10.3390/met14050580
Kaikai Tang, Yan Li, Yuebing Li, Weiya Jin, Jiameng Liu
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引用次数: 0

摘要

反应堆压力容器(RPV)钢材由于长期暴露在高温、高压和强中子辐照下,极易发生辐照脆化。这导致了无韧性转变参考温度-∆RTNDT 的变化。∆RTNDT 的变化遵循一定的分布模式,并受到化学成分、中子通量和辐照温度等因素的影响。现有的经验程序可以在拟合大量辐照脆化数据的基础上估算出 ∆RTNDT,但其可靠性尚未得到深入研究。我们采用概率统计分布和伽马随机过程来模拟压水堆 RPV 钢因辐照脆化引起的材料性能退化,考虑的概率模型有正态分布、Weibull 分布和对数正态分布。与现有经验程序的比较表明,Weibull 分布模型和 Gamma 随机模型在预测 RPV 钢的∆RTNDT 方面表现出良好的可靠性。这为研究 RPV 材料的辐照脆性提供了有价值的参考。
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Analysis of Shift in Nil-Ductility Transition Reference Temperature for RPV Steels Due to Irradiation Embrittlement Using Probability Distributions and Gamma Process
Reactor pressure vessel (RPV) steels are highly susceptible to irradiation embrittlement due to prolonged exposure to high temperature, high pressure, and intense neutron irradiation. This leads to the shift in nil-ductility transition reference temperature—∆RTNDT. The change in ∆RTNDT follows a certain distribution pattern and is impacted by factors including chemical composition, neutron fluence, and irradiation temperature. Existing empirical procedures can estimate ∆RTNDT based on fitting extensive irradiation embrittlement data, but their reliability has not been thoroughly investigated. Probability statistical distributions and the Gamma stochastic process were performed to model material property degradation in RPV steels from a pressurized water reactor due to irradiation embrittlement, with the probability models considered being normal, Weibull, and lognormal distributions. Comparisons with existing empirical procedures showed that the Weibull distribution model and the Gamma stochastic model demonstrate good reliability in predicting ∆RTNDT for RPV steels. This provides a valuable reference for studying irradiation embrittlement in RPV materials.
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