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Vibration-based monitoring of civil structures with subspace-based damage detection

Michael Döhler 1 Falk Hille 2 Laurent Mevel 1 
1 I4S - Statistical Inference for Structural Health Monitoring
IFSTTAR/COSYS - Département Composants et Systèmes, Inria Rennes – Bretagne Atlantique
Abstract : Automatic vibration-based structural health monitoring has been recognized as a useful alternative or addition to visual inspections or local non-destructive testing performed manually. It is, in particular, suitable for mechanical and aeronautical structures as well as on civil structures, including cultural heritage sites. The main challenge is to provide a robust damage diagnosis from the recorded vibration measurements, for which statistical signal processing methods are required. In this chapter, a damage detection method is presented that compares vibration measurements from the current system to a reference state in a hypothesis test, where data-related uncertainties are taken into account. The computation of the test statistic on new measurements is straightforward and does not require a separate modal identification. The performance of the method is firstly shown on a steel frame structure in a laboratory experiment. Secondly, the application on real measurements on S101 Bridge is shown during a progressive damage test, where damage was successfully detected for different damage scenarios.
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Submitted on : Monday, January 15, 2018 - 10:56:12 AM
Last modification on : Friday, June 17, 2022 - 1:27:52 PM
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Michael Döhler, Falk Hille, Laurent Mevel. Vibration-based monitoring of civil structures with subspace-based damage detection. Erika Ottaviano, Assunta Pelliccio, Vincenzo Gattulli. Mechatronics for Cultural Heritage and Civil Engineering, 92, Springer, pp.307-326 2018, Intelligent Systems, Control and Automation: Science and Engineering, ⟨10.1007/978-3-319-68646-2_14⟩. ⟨hal-01684072⟩



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