Adjustment of reactor pressure vessel embrittlement trend curves using a mixed-effects model

IF 2.6 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY
Gyeong-Geun Lee, Bong-Sang Lee, Min-Chul Kim, Junhyun Kwon, Jong-Min Kim
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Abstract

This study presents a novel approach for adjusting the generic reactor pressure vessel embrittlement trend curve (ETC), ASTM E900-15, using a mixed-effects model based on Baseline22, a compiled dataset of surveillance test data from nuclear power plants worldwide. Using this statistical framework, systematic deviations owing to initial material properties, notch orientations, and other plant-specific factors were separated from measurement errors, providing a more accurate assessment of embrittlement trends. Two types of adjustment models were explored: an intercept-only model (AM3) and a combined intercept-slope model (AM6). The AM3 model, which estimates only group-specific intercepts, effectively reduces prediction errors compared to ASTM E900-15 model while maintaining interpretability and simplicity, making it particularly suitable for regulatory applications. AM6, which incorporates group-specific slopes and covariance terms, further improves predictive accuracy, but introduces estimation complexities, so its suitability for conservate regulatory applications requires further discussion. To facilitate the practical implementation of AM3, closed-form expressions for group-specific intercept adjustments were derived, enabling the estimation of adjustment factors without the need for Bayesian Markov chain Monte Carlo models or complex statistical tools. Additionally, the standard deviations of the intercept means and prediction intervals were formulated as functions of the group size, providing a straightforward method for assessing embrittlement trends as new surveillance test results became available. This study demonstrates that existing generic ETC models can be dynamically refined and updated using plant-specific surveillance test data, while maintaining robustness and regulatory applicability. These findings lay the groundwork for the future refinement of standard ETC models, potential integration with regulatory frameworks, and improved long-term integrity assessments of reactor pressure vessels in aging nuclear power plants.
用混合效应模型调整反应堆压力容器脆化趋势曲线
本研究提出了一种新的方法来调整通用反应堆压力容器脆化趋势曲线(ETC), ASTM E900-15,使用基于基线22的混合效应模型,基线22是世界各地核电站监测测试数据的汇编数据集。利用这一统计框架,将由初始材料特性、缺口方向和其他植物特定因素引起的系统偏差与测量误差分离开来,从而更准确地评估脆化趋势。探讨了两种类型的平差模型:仅截距模型(AM3)和截距-斜率组合模型(AM6)。与ASTM E900-15模型相比,AM3模型仅估计特定组的截距,有效地减少了预测误差,同时保持了可解释性和简单性,使其特别适合监管应用。AM6结合了群体特定斜率和协方差项,进一步提高了预测精度,但引入了估计复杂性,因此其对保守监管应用的适用性需要进一步讨论。为了便于AM3的实际实施,我们导出了针对群体的截距调整的封闭表达式,从而无需使用贝叶斯马尔可夫链蒙特卡罗模型或复杂的统计工具即可估计调整因子。此外,截距均值和预测区间的标准偏差作为组大小的函数,提供了一种直接的方法来评估新的监测测试结果的脆化趋势。该研究表明,现有的通用ETC模型可以利用植物特异性监测测试数据动态改进和更新,同时保持鲁棒性和监管适用性。这些发现为未来改进标准ETC模型、与监管框架的潜在整合以及改进老化核电站反应堆压力容器的长期完整性评估奠定了基础。
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来源期刊
Nuclear Engineering and Technology
Nuclear Engineering and Technology 工程技术-核科学技术
CiteScore
4.80
自引率
7.40%
发文量
431
审稿时长
3.5 months
期刊介绍: Nuclear Engineering and Technology (NET), an international journal of the Korean Nuclear Society (KNS), publishes peer-reviewed papers on original research, ideas and developments in all areas of the field of nuclear science and technology. NET bimonthly publishes original articles, reviews, and technical notes. The journal is listed in the Science Citation Index Expanded (SCIE) of Thomson Reuters. NET covers all fields for peaceful utilization of nuclear energy and radiation as follows: 1) Reactor Physics 2) Thermal Hydraulics 3) Nuclear Safety 4) Nuclear I&C 5) Nuclear Physics, Fusion, and Laser Technology 6) Nuclear Fuel Cycle and Radioactive Waste Management 7) Nuclear Fuel and Reactor Materials 8) Radiation Application 9) Radiation Protection 10) Nuclear Structural Analysis and Plant Management & Maintenance 11) Nuclear Policy, Economics, and Human Resource Development
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