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对低Cu RPV钢的辐射苦的预测模型的开发
Chaoliang Xu1, Xiangbing Liu1, Yuanfei Li1
1Suzhou Nuclear Power Research Institute, China General Nuclear Power Corporation, Suzhou, Jiangsu Province, China.
Heliyon
|May 30, 2023
概括
反应堆压力容器 (RPV) 中辐射脆性 (PMIE) 的新预测模型提高了核反应堆的安全性. PMIE-2020模型准确地预测了低铜RPV钢的脆性,改善了长期运行评估.
科学领域:
- 材料科学 材料科学 材料科学
- 核工程 核工程是指核工程.
- 计算建模 计算建模
背景情况:
- 反应堆压力容器 (RPV) 的脆弱性是核反应堆长期运行的关键问题.
- 现有的预测模型可能对特定材料组成缺乏准确性,特别是低铜钢.
研究的目的:
- 在反应器压力容器 (RPV) 钢中开发辐射脆性 (PMIE) 的准确预测模型.
- 通过实验数据验证模型的性能,并与现有模型进行比较.
主要方法:
- 根据RPV辐射折的物理机制开发了一个初步模型.
- 确定了铜 (Cu) 含量的临界值 (0.072%).
- 创建并验证了低Cu RPV钢的PMIE-2020预测模型,分析残留物,标准偏差和价值分布.
主要成果:
- 根据PMIE-2020模型,中子流动,流量,温度和化学元素 (Cu,P,Mn,Ni,Si) 等关键影响因素没有趋势.
- 实现了剩余标准偏差10.76°C,低于当前模型.
- 在45°线附近的预测值和测试值之间显示出密切的分布,表明高精度.
结论:
- 该PMIE-2020模型提供了一个非常准确的预测,在低铜RPV钢的辐射脆性.
- 这种模型可以为核反应堆的安全可靠长期运行做出重大贡献.
- 模型的准确性通过其对实验数据的性能和与其他预测方法的比较来验证.
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