at Google ScholarTitle data
Peter, Ronny ; Baumann, Lukas ; Michel, Markus ; Fischerauer, Alice ; Fischerauer, Gerhard:
Structural health monitoring of bridges using both local vibrations and structure-borne acoustic waves.
In: Reindl, Leonhard ; Wöllenstein, Jürgen
,
Informationstechnische Gesellschaft im VDE (VDE ITG); VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (VDE GMA); AMA Verband für Sensorik und Messtechnik e. V.
(ed.):
Sensoren und Messsysteme : Beiträge der 21. ITG/GMA-Fachtagung 10. – 11. Mai 2022 in Nürnberg. -
Berlin ; Offenbach
: VDE Verlag
,
2022
. - pp. 373-377
. - (ITG-Fachbericht
; 303
)
ISBN 978-3-8007-5836-4
Abstract in another language
For the structural health monitoring of bridges, we investigated different acceleration signals excited by passing vehicles. By driving onto or off the bridge, thereby crossing the expansion joint, impulse-like signals are excited by every passing axle. These signals travel as structure-borne acoustic waves through the whole bridge. The driving over the bridge between the joints also excites waves, but with limited ranges. Both signal types carry information about the physical properties of the bridge. Both signal types have been investigated for their reproducibility. In both cases, signals excited by trucks turned out to be more reproducible then signals excited by cars. Finally, the velocity of passing vehicles could easily be estimated from a Doppler shift in the limited-range signals.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | No |
| Institutions of the University: | Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Measurement and Control Technology Faculties > Faculty of Engineering Science > Chair Measurement and Control Technology > Chair Measurement and Control Technology - Univ.-Prof. Dr.-Ing. Gerhard Fischerauer Faculties |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Date Deposited: | 13 May 2022 05:53 |
| Last Modified: | 13 May 2022 08:32 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/69568 |