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Continuous dynamic monitoring of a lively footbridge for serviceability assessment and damage detection

机译:连续动态监测活跃的人行天桥,以评估维修性和损坏

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This paper aims at analyzing the feasibility of applying a vibration based damage detection approach, based on Principal Components Analysis (PCA), to eliminate environmental effects using the large amount of high quality data continuously collected by the dynamic monitoring system of Pedro e Ines footbridge since 2007. Few works describe real data, regularly collected along several years by reliable continuous dynamic monitoring systems in bridge structures. One main contribution is to show a large difference between making academic research based on numerical simulations or limited experimental samples, and making validity tests of innovative procedures using large high quality databases collected in real structures. The monitoring system, installed with the only initial objective of checking the efficiency of vibration control devices used to mitigate lateral and vertical vibrations, was therefore further developed for research purposes by implementing LabVIEW based automated signal processing and output-only modal identification routines, that enabled the analysis of the correlation of modal estimates with the temperature and the vibration level, as well as the automatic tracking of modal parameters along several years. With the final purpose of detecting potential structural damage at an early stage, the Principal Components Analysis (PCA) was employed to effectively eliminate temperature effects, whereas Novelty Analysis on the residual errors of the PCA model was used to provide a statistical indication of damage. The efficiency of this vibration based damage detection approach was verified using 3 years of measurements at Pedro e Ines footbridge under operational conditions and simulating several realistic damage scenarios affecting the boundary conditions. It is demonstrated that such a dynamic monitoring system, apart from providing relevant instantaneous dynamic information, working as an alert system associated to the verification of vibration serviceability limits, can also serve as an effective tool for long term bridge health monitoring.
机译:本文旨在分析应用基于主成分分析(PCA)的基于振动的损伤检测方法以使用Pedro e Ines行人天桥动态监测系统连续收集的大量高质量数据消除环境影响的可行性。 2007年。很少有作品描述真实的数据,并通过可靠的桥梁结构连续动态监测系统定期收集了数年。一个主要的贡献是显示了在基于数值模拟或有限的实验样本进行学术研究与使用在真实结构中收集的大型高质量数据库对创新程序进行有效性测试之间的巨大差异。因此,该监视系统的最初目标是检查用于减轻横向和垂直振动的振动控制设备的效率,因此通过基于LabVIEW的自动信号处理和仅输出模式识别例程,可以进一步开发用于研究目的。分析模态估计值与温度和振动水平的相关性,以及对模态参数的自动跟踪。为了尽早发现潜在的结构损坏,最终目的是使用主成分分析(PCA)有效消除温度影响,而对PCA模型的残留误差进行的新颖性分析则可以提供损坏的统计指示。通过在运行条件下在Pedro e Ines行人天桥上进行了3年的测量,并模拟了几种影响边界条件的实际损坏情况,验证了这种基于振动的损坏检测方法的效率。事实证明,这种动态监控系统除了提供相关的瞬时动态信息外,还可以作为与振动可使用性极限的验证相关的警报系统,也可以作为长期桥梁健康监控的有效工具。

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