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首页> 外文期刊>Journal of aerospace engineering >Automated Eigensystem Realization Algorithm for Operational Modal Identification of Bridge Structures
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Automated Eigensystem Realization Algorithm for Operational Modal Identification of Bridge Structures

机译：桥梁结构运行模态识别的自动特征系统实现算法

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The subject of vibration-based structural health monitoring (SHM) has attracted increasing attention, especially in the field of civil engineering. However, the development of these monitoring processes is not a simple task, with user interaction playing a significant role in the extraction of modal characteristics. In this paper, an automated operational modal analysis methodology based on an eigensystem realization algorithm (ERA) and a two-stage clustering strategy is proposed. Three crucial steps are addressed in this study. In the first phase, ERA is adopted to calculate modes from state-space models of different orders. Subsequently, the dissimilarity of modal parameters is employed as the features of fuzzy C-means (FCM) clustering to separate stable modes from unstable ones. The final step consists of grouping stable modes with similar structural properties to select physical modes. No user-specified parameter is required in the clustering procedure to single out physical modes. A practical bridge example is used to verify that the proposed method can estimate modal parameters effectively in real time.
机译：基于振动的结构健康监测（SHM）主题引起了越来越多的关注，尤其是在土木工程领域。但是，开发这些监视过程并不是一项简单的任务，用户交互在模态特征的提取中起着重要作用。本文提出了一种基于特征系统实现算法（ERA）和两阶段聚类策略的自动化操作模式分析方法。本研究解决了三个关键步骤。在第一阶段，采用ERA从不同阶的状态空间模型计算模式。随后，模态参数的相似性被用作模糊C均值（FCM）聚类的特征，以将稳定模式与不稳定模式分开。最后一步包括对具有相似结构特性的稳定模式进行分组以选择物理模式。在群集过程中，无需用户指定参数即可选择物理模式。通过实际的桥梁算例验证了所提方法能够实时有效地估计模态参数。

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