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    Vibration-Based SHM Strategy for a Real Time Alert System with Damage Location and Quantification

    Identifiers
    URI: http://hdl.handle.net/11556/1104
    ISSN: 2366-2557
    ISBN: 978-303064593-9
    DOI: 10.1007/978-3-030-64594-6_25
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    Author/s
    Fernández-Navamuel, Ana; Zamora-Sánchez, Diego; Varona-Poncela, Tomás; Jiménez-Fernández, Carlos; Díez-Hernández, Jesús; [et al.]
    Date
    2021-01-11
    Keywords
    Structural health monitoring
    Structural dynamics
    Bridge maintenance
    Machine learning
    Abstract
    We present a simple and fully automatable vibration-based Structural Health Monitoring (SHM) alert system. The proposed method consists in applying an Automated Frequency Domain Decomposition (AFDD) algorithm to obtain the eigenfrequencies and mode shapes in real time from acceleration measurements, allowing to provide a diagnosis based on a Support Vector Machine algorithm trained with a database of the modal properties in undamaged and damaged scenarios accounting for temperature variability. The result is an alert system for controlling the correct performance of the structure in real time with a simple but efficient approach. Once the alert is triggered, the undamaged mode shapes (which could be previously stored in a database of modal parameters classified by temperature) and the current (damaged) mode shapes, can provide guidance for further application of Finite Element Model Updating (FEMU) techniques. The method is trained and validated with simulations from a FE model that is ...
    Type
    conferenceObject

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