Application of Intensity-Based Coherent Optical Time Domain Reflectometry to Bridge Monitoring
Although distributed fiber sensing techniques have been widely used in structural health monitoring, the measurement results of bridge monitoring, particularly under destructive testing, have rarely been reported. To the best of the authors knowledge, this paper is the first report of distributed vibration measurement results, which the authors obtained during a three-day destructive test on an abolished bridge. A coherent optical time domain reflectometry (COTDR) was used to acquire the vibration information while the bridge was being sawed. The obtained signal was analyzed in time and frequency domain. Some characteristics of the sawing-induced vibration were retrieved by the short-time Fourier transform; the vibration exhibited several high frequency components within the measured range up to 20 kHz and all the components appeared in the same time slot. Some unexpected signals were also detected. Thorough analysis showed that they are quite different from the sawing-induced vibration and are believed to originate from internal damage to the bridge (probably the occurrence of cracks).
- Record URL:
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/14248220
-
Supplemental Notes:
- © Xin Lu et al.
-
Authors:
- Lu, Xin
- Chruscicki, Sebastian
- Schukar, Marcus
- Münzenberger, Sven
- Krebber, Katerina
- Publication Date: 2022
Language
- English
Media Info
- Media Type: Digital/other
- Pagination: 3434
-
Serial:
- Sensors
- Volume: 22
- Issue Number: 9
- Publisher: MDPI AG
- ISSN: 1424-8220
- Serial URL: http://www.mdpi.com/journal/sensors
-
Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Bridge management systems; Fiber optics; Fourier transforms; Reflectometers; Structural health monitoring; Vibration
- Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;
Filing Info
- Accession Number: 01846618
- Record Type: Publication
- Files: TRIS
- Created Date: May 24 2022 10:09AM