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Vibration-Based Monitoring of Civil Structures with Subspace-Based Damage Detection

  • Michael Döhler
  • Falk Hille
  • Laurent Mevel
Chapter
Part of the Intelligent Systems, Control and Automation: Science and Engineering book series (ISCA, volume 92)

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.

Keywords

Subspace methods Damage detection Statistical tests Vibrations Structural health monitoring 

Notes

Acknowledgements

We thank Dr. Helmut Wenzel, VCE, and the FP7 IRIS project for providing the data from S101 Bridge.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Inria, I4S/IFSTTAR, COSYS, SIIRennesFrance
  2. 2.BAM Federal Institute of Materials Research and TestingBerlinGermany

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