TY - CHAP A1 - Döhler, Michael A1 - Hille, Falk A1 - Mevel, Laurent ED - Ottaviano, Erika ED - Pelliccio, Assunta ED - Gattulli, Vincenzo T1 - Vibration-based monitoring of civil structures with subspace-based damage detection N2 - 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 data9 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. KW - Structural health monitoring KW - Subspace methods KW - Damage detection KW - Statistical tests KW - Vibrations PY - 2018 SN - 978-3-319-68645-5 U6 - https://doi.org/10.1007/978-3-319-68646-2 SP - 307 EP - 326 PB - Springer International Publishing CY - Cham ET - 1. AN - OPUS4-45127 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -