The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The use of a dynamic truck–trailer drive-by system to monitor bridge damping
Open accessAbstract
Bridge structures are continuously subject to degradation due to the environment, ageing and excess loading. Periodic monitoring of bridges is therefore a key part of any maintenance strategy as it can give early warning if a bridge becomes unsafe. This article investigates an alternative method for the monitoring of bridge dynamic behaviour: a truck–trailer vehicle system, with accelerometers fitted to the axles of the trailer. The method aims to detect changes in the damping of a bridge, which may indicate the existence of damage. A simplified vehicle–bridge interaction model is used in theoretical simulations to assess the effectiveness of the method in detecting those changes. The influence of road profile roughness on the vehicle vibration is overcome by recording accelerations from both axles of a trailer and then analysing the spectra of the difference in the accelerations between the two axles. The effectiveness of the approach in detecting damage simulated as a loss in stiffness is also investigated. In addition, the sensitivity of the approach to the vehicle speed, road roughness class, bridge span length, changes in the equal axle properties and noise is investigated.
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Citations
Cites
Extracting bridge frequencies from the dynamic response of a passing vehicle
Yang, Y.-B., Lin, C. W., & Yau, J. D. (2004) · Journal of Sound and Vibration · doi:10.1016/s0022-460x(03)00378-x · Cited by 767
Cited by
Malekjafarian, A., & OBrien, E. J. (2014) · Engineering Structures · doi:10.1016/j.engstruct.2014.10.007 · Cited by 275
Self-citationA review of indirect bridge monitoring using passing vehicles
Malekjafarian, A., McGetrick, P. J., & OBrien, E. J. (2015) · Shock and Vibration · doi:10.1155/2015/286139 · Cited by 250
Self-citationDrive-by damage detection in bridges using the apparent profile
OBrien, E. J., & Keenahan, J. (2015) · Structural Control and Health Monitoring · doi:10.1002/stc.1721 · Cited by 92
Self-citationCalderon Hurtado, A., Kaur, K., Makki Alamdari, M., Atroshchenko, E., Chang, K. C., & Kim, C. W. (2023) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2023.117598 · Cited by 53
Sivasuriyan, A., Vijayan, D. S., LeemaRose, A., Revathy, J., Gayathri Monicka, S., Adithya, U. R., & Jebasingh Daniel, J. (2021) · Advances in Materials Science and Engineering · doi:10.1155/2021/2615029 · Cited by 29
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Metadata
- Authors
- Keenahan, J., OBrien, E. J., McGetrick, P. J., & Gonzalez, A.
- Venue
- Structural Health Monitoring
- Publisher
- SAGE Publications
- Published
- 2013-12-24
- Volume
- 13
- Issue
- 2
- Pages
- 143-157
- ISSN
- 1475-9217 (ISSN-L)
- 1741-3168
- OpenAlex
- W2164955020
- Cited by
- 188
- References
- 1
- FWCI
- 13.78
- Type
- journal article
- Language
- en
- Open access
- green
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- Keenahan, J., OBrien, E. J., McGetrick, P. J., & Gonzalez, A. (2014). The use of a dynamic truck–trailer drive-by system to monitor bridge damping. Structural Health Monitoring. https://doi.org/10.1177/1475921713513974
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
