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Automated output-only dynamic identification of civil engineering structures

机译:土木工程结构的自动仅输出动态识别

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Modal-based damage detection algorithms are well-known techniques for structural health assessment, but they are not commonly used due to the lack of automated modal identification and tracking procedures. Development of such procedures is not a trivial task since traditional modal identification requires extensive interaction from an expert user. Nevertheless, computational efforts have to be carefully considered. If fast on-line data processing is crucial for quickly varying in time systems (such as a rocket burning fuel), a number of vibration-based condition monitoring applications are performed at very different time scales, resulting in satisfactory time steps for on-line data analysis. Moreover, promising results in the field of automated modal identification have been recently achieved. In the present paper, a literature review on this topic is presented and recent developments concerning fully automated output-only modal identification procedures are described. Some case studies are also reported in order to validate the approach. They are characterized by different levels of complexity, in terms of mode coupling, dynamic interaction effects and level of vibration. Advantages and drawbacks of the proposed approach will be pointed out with reference to available experimental results. The final objective is the implementation of a fully automated system for vibration-based structural health monitoring of civil engineering structures and identification of adequate requirements about sensor number and layout, record duration and hardware characteristics able to ensure a reliable low-cost health assessment of constructions.rnResults of application of the proposed methodology to modal parameter estimation in operational conditions and during ground motions induced by the recent L'Aquila earthquake will be finally presented and discussed.
机译:基于模态的损伤检测算法是用于结构健康评估的众所周知的技术,但是由于缺乏自动化的模态识别和跟踪程序,因此并不常用。由于传统的模式识别需要专家用户的广泛交互,因此开发此类程序并不是一件容易的事。但是,必须认真考虑计算工作。如果快速的在线数据处理对于快速变化的时间系统(例如火箭燃烧的燃料)至关重要,则可以在非常不同的时标上执行许多基于振动的状态监视应用程序,从而获得令人满意的在线时间步长数据分析。此外,近来在自动模式识别领域中已经取得了令人鼓舞的结果。在本文中,提出了关于该主题的文献综述,并描述了有关全自动输出模式识别程序的最新进展。还报告了一些案例研究,以验证该方法。它们在模式耦合,动态相互作用效应和振动水平方面具有不同的复杂度。将参考可用的实验结果指出提出的方法的优缺点。最终目标是实施一套全自动系统,用于对土木工程结构进行基于振动的结构健康监测,并确定有关传感器数量和布局,记录持续时间和硬件特性的适当要求,以确保对建筑进行可靠的低成本健康评估.rn将最终介绍和讨论将所提出的方法应用于操作条件下以及最近的拉奎拉地震引起的地震动过程中的模态参数估计的结果。

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