Vibration-based monitoring of civil structures with subspace-based damage detection
- 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 S101Automatic 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.…


| Autor*innen: | Michael Döhler, Falk HilleORCiD, Laurent Mevel |
|---|---|
| Persönliche Herausgeber*innen: | Erika Ottaviano, Assunta Pelliccio, Vincenzo Gattulli |
| Dokumenttyp: | Buchkapitel |
| Veröffentlichungsform: | Verlagsliteratur |
| Sprache: | Englisch |
| Titel des übergeordneten Werkes (Englisch): | Mechatronics for Cultural Heritage and Civil Engineering |
| Auflage: | 1. |
| Jahr der Erstveröffentlichung: | 2018 |
| Verlag: | Springer International Publishing |
| Verlagsort: | Cham |
| Erste Seite: | 307 |
| Letzte Seite: | 326 |
| DDC-Klassifikation: | Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Ingenieurbau |
| Freie Schlagwörter: | Damage detection; Statistical tests; Structural health monitoring; Subspace methods; Vibrations |
| DOI: | 10.1007/978-3-319-68646-2 |
| ISBN: | 978-3-319-68645-5 |
| Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
| Datum der Freischaltung: | 11.06.2018 |
| Referierte Publikation: | Ja |
| Datum der Eintragung als referierte Publikation: | 11.06.2018 |

