Vibration monitoring of nuclear power plant containment buildings during the Integrated Leakage Rate Test for structural condition assessment

IF 2 Q2 ENGINEERING, MULTIDISCIPLINARY
J. Eiras, C. Payan, S. Rakotonarivo, Agustin Spalvier, V. Garnier
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引用次数: 0

Abstract

This study investigates the use of the operational vibrations produced during the Integrated Leak Rate Test of nuclear power plant containment buildings for further informing on its mechanical condition. The experiment is performed on a 1:3-scale containment building mock-up. The results show that meaningful vibrations were generated during the pressurization test. Different features were extracted from the vibration signals and analyzed as a function of the internal pressure. Experimental modal analysis was performed and demonstrated that several frequency peaks generated during the pressurization cycle effectively corresponded to the eigenmodes of the containment building. The identified operational frequency modes exhibited remarkable hysteretic dependencies on the internal pressure. The latter was phenomenologically described through a simplified 2D Finite Element Model of the vessel. Besides, a surrogate statistical model based on the Principal Component Analysis of the vibration data was proposed as a baseline and so detect abnormal behavior. Then, different synthetic damage scenarios were created by subtlety altering the recorded signals and ultimately substantiate the capability of the statistical model to detect these odd signals. Finally, conclusions were drawn regarding the possibility of using mechanical vibrations for assisting in the licensing process of nuclear power plants and monitor the structural health condition of in-service containment buildings.
核电厂安全壳结构状态综合泄漏率试验中振动监测
本研究调查了核电站安全壳综合泄漏率试验中产生的运行振动的使用情况,以进一步了解其机械状况。实验是在一个1:3比例的安全壳建筑模型上进行的。结果表明,在加压试验过程中产生了明显的振动。从振动信号中提取不同特征,并分析其与内压的关系。实验模态分析表明,增压循环过程中产生的几个频率峰值与安全壳建筑的特征模态有效对应。所确定的工作频率模式对内压表现出显著的滞后依赖性。后者通过简化的二维有限元模型进行现象学描述。此外,提出了一种基于主成分分析的振动数据代理统计模型作为检测异常行为的基准。然后,通过微妙地改变记录的信号,创建不同的合成损伤场景,最终证实统计模型检测这些奇数信号的能力。最后,就利用机械振动协助核电厂的许可程序和监测在役密封建筑物的结构健康状况的可能性得出了结论。
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来源期刊
CiteScore
3.80
自引率
9.10%
发文量
25
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