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Measurement of Quasi-Static and Dynamic Displacements of Footbridges Using the Composite Instrument of a Smartstation and an Accelerometer: Case Studies
- Source :
- Remote Sensing, Vol 12, Iss 2635, p 2635 (2020)
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- Monitoring the dynamic responses of bridge structures has received considerable attention. It is important to synchronously measure both the quasi-static and dynamic displacements of bridge structures. However, the traditional accelerometer method cannot capture the quasi-static displacement component, although it can detect the dynamic displacement component. To this end, a novel composite instrument of a smartstation was proposed to monitor vibration displacements of footbridges. Full-scale experiments were conducted on a footbridge to validate the feasibility of the composite instrument-based monitoring method. A Chebyshev filter and wavelet algorithms were developed to process the composite instrument measurements. It was concluded that the measurement noise of the composite instrument was mainly distributed in a frequency range of 0–0.1 Hz. In two case studies with displacement peaks of 5.7–10.0 mm and 1.3– 2.5 mm, the composite instrument accurately identified the quasi-static and dynamic displacements. The composite instrument will be a potential tool for monitoring structural dynamics because of its enhanced overall performance.
- Subjects :
- vibration frequency
010504 meteorology & atmospheric sciences
Computer science
020101 civil engineering
02 engineering and technology
Accelerometer
01 natural sciences
Chebyshev filter
Displacement (vector)
0201 civil engineering
Wavelet
dynamic displacement
composite instrument of a smartstation
lcsh:Science
0105 earth and related environmental sciences
structural health monitoring
business.industry
Noise (signal processing)
Structural engineering
Vibration
accelerometer
General Earth and Planetary Sciences
lcsh:Q
Structural health monitoring
business
Quasistatic process
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 12
- Issue :
- 2635
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....d207f08da889b878f16d9932eb5b0ca9