环境因素对水电站大坝空心重力混凝土块模态识别的影响

IF 3.6 2区 工程技术 Q1 ENGINEERING, CIVIL Journal of Civil Structural Health Monitoring Pub Date : 2024-08-29 DOI:10.1007/s13349-024-00828-3
Yeny V. Ardila-Ardila, Iván D. Gómez-Araújo, Jesús D. Villalba-Morales, Luis A. Aracayo
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引用次数: 0

摘要

水坝是一种民用基础设施,可直接影响人们的福祉,因为其功能是能源生产、防洪或供水。因此,值得制定策略来评估其当前状况,因为在其使用寿命期间,结构可能会发生变化。评估大坝结构完整性的一个非常有效的方法是监测模态参数的变化。这种方法可以识别结构退化可能导致的异常变化。大量研究表明,环境因素对模态参数有很大影响,导致与结构损坏无关的变化。本文研究了上游水位和气温等环境因素对水电站大坝空心重力混凝土块已识别模态参数的时间演变的影响。模态识别是通过对运行 3 年的 30 分钟加速度时间序列进行模态参数估计的自动程序实现的。相关分析表明,确定的模态参数与环境因素之间存在明显的关系。空气温度的变化对自然频率有直接的比例影响,而上游水位的波动则有反向影响。此外,还观察到自然频率与气温之间存在时间差。为了减轻诱导效应,我们采用了多重线性回归法,将上游水位和预测频率之前测量的气温段平均值作为预测因子。在样本外的 8 个月时间里,与受环境因素影响最大的自然频率相关联的模式的变异性降低了 50%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Effect of environmental factors on modal identification of a hydroelectric dam’s hollow-gravity concrete block

Dams are a type of civil infrastructure that can directly impact people’s well-being, as their function is energy production, flood control, or water supply. Therefore, it is worth generating strategies to assess its current condition, since structural changes may occur during its useful life. One highly effective approach for evaluating the structural integrity of dams involves monitoring alterations in modal parameters. This method enables the identification of abnormal changes that may arise from structural degradation. Numerous studies have revealed the strong influence of environmental factors on modal parameters, resulting in variations unrelated to structural damage. This paper investigates the effects of environmental factors such as upstream water level and air temperature on the temporal evolution of the identified modal parameters of a hydroelectric dam’s hollow-gravity concrete block. Modal identification is performed through an automatic procedure of estimating modal parameters to 30-min acceleration time series over 3 years of operation. Correlation analysis reveals a distinct relationship between the identified modal parameters and environmental factors. Changes in air temperature exhibit a direct proportional impact on natural frequencies, while fluctuations of the upstream level have an inverse effect. Furthermore, a time lag was observed in the natural frequencies concerning air temperature. Multiple linear regressions were fitted to mitigate the induced effects, incorporating as predictors the upstream water level and the averages of air temperature segments measured prior to the predicted frequency. A reduction in variability of more than 50% was achieved in an out-of-sample 8-month period for the modes linked to the natural frequencies most influenced by environmental factors.

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来源期刊
Journal of Civil Structural Health Monitoring
Journal of Civil Structural Health Monitoring Engineering-Safety, Risk, Reliability and Quality
CiteScore
8.10
自引率
11.40%
发文量
105
期刊介绍: The Journal of Civil Structural Health Monitoring (JCSHM) publishes articles to advance the understanding and the application of health monitoring methods for the condition assessment and management of civil infrastructure systems. JCSHM serves as a focal point for sharing knowledge and experience in technologies impacting the discipline of Civionics and Civil Structural Health Monitoring, especially in terms of load capacity ratings and service life estimation.
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