Proactive condition assessment in civil engineering using automated multi-sensor systems
- Infrastructure is subject to continuous ageing. This has given life cycle management of infrastructure an increasing role. Reliable inspection and monitoring tools are therefore an increasing demand. A combination of different non-destructive test methods is often necessary to receive reliable results for material characterization, flaw detection and the determination of component specific geometry parameters. Regarding concrete structures thickness measurements are combined with flaw detection and additional information about reinforcement and tendon ducts is required. Therefore, a multi-sensor measurement approach is necessary with a high degree of automation. Otherwise a time consuming succession of manual measurements has to be performed which would prevent practical applications. A modular control and data acquisition approach is described and the application of two different automated measurement devices is shown. The BetoScan system consists of a self-navigating mobileInfrastructure is subject to continuous ageing. This has given life cycle management of infrastructure an increasing role. Reliable inspection and monitoring tools are therefore an increasing demand. A combination of different non-destructive test methods is often necessary to receive reliable results for material characterization, flaw detection and the determination of component specific geometry parameters. Regarding concrete structures thickness measurements are combined with flaw detection and additional information about reinforcement and tendon ducts is required. Therefore, a multi-sensor measurement approach is necessary with a high degree of automation. Otherwise a time consuming succession of manual measurements has to be performed which would prevent practical applications. A modular control and data acquisition approach is described and the application of two different automated measurement devices is shown. The BetoScan system consists of a self-navigating mobile robot. The system is especially designed for the investigation of reinforced concrete floors exposed to de-icing salts. The data acquisition of the OSSCAR system a multi-sensor scanner is similar to the robot approach. These different applications are based on a similar kernel allowing the modular use of different contact and noncontact sensors. The described general concept of multi-sensor data acquisition and data analysis presented here is not limited to the field of civil engineering applications.…
Autor*innen: | Markus Stoppel, J.H. Kurz, Alexander Taffe, C. Boller |
---|---|
Persönliche Herausgeber*innen: | F.-K. Chang |
Dokumenttyp: | Beitrag zu einem Tagungsband |
Veröffentlichungsform: | Verlagsliteratur |
Sprache: | Englisch |
Titel des übergeordneten Werkes (Englisch): | IWSHM 2011 - 8th International workshop on structural health monitoring 2011 (Proceedings) |
Jahr der Erstveröffentlichung: | 2011 |
Verlag: | DEStech Publications, Inc. |
Jahrgang/Band: | 2 |
Erste Seite: | 2359 |
Letzte Seite: | 2366 |
Freie Schlagwörter: | Assessment of concrete structures; Data acquisition; Multi sensor; NDT; Scanner |
Veranstaltung: | 8th International workshop on structural health monitoring 2011 |
Veranstaltungsort: | Stanford, CA, USA |
Beginndatum der Veranstaltung: | 13.09.2011 |
Enddatum der Veranstaltung: | 15.09.2011 |
ISBN: | 978-1-60595-053-2 |
Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
Datum der Freischaltung: | 19.02.2016 |
Referierte Publikation: | Nein |