The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Drive-by damage detection in bridges using the apparent profile
Open accessAbstract
The concept of using sensors on a passing vehicle, rather than on the bridge, is known as 'Drive-by' damage detection. The newly developed traffic speed deflectometer (TSD) is a device used for pavement deflection measurements and is investigated here in numerical simulations as a means of bridge damage detection. A TSD vehicle model containing two displacement sensors is simulated crossing a simply supported finite element beam containing damage simulated as a loss in stiffness of one of the elements. An adapted Cross Entropy optimisation algorithm procedure is proposed to determine the apparent profile, where the displacements recorded by the sensors are used as the inputs. The time-shifted difference in the apparent profile is used as the damage indicator. Results show that this can be reliably used as a damage indicator in the presence of noise and changes in the transverse position of the vehicle on the bridge. Copyright © 2014 John Wiley & Sons, Ltd.
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“Keenahan and Obrien [272] employed a TSD vehicle containing five displacement sensors.The time-shifted curvature derived from the displacements was selected as the damage indicator.Numerical studies showed that the proposed method was more robust to noise than the algorithm proposed in OBrien and Keenahan [271].”
From Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019 (2021) · cites this paper as [271]
In the citing paper
“OBrien and Keenahan [271] used a TSD vehicle containing two displacement sensors for damage detection for short-medium span bridges.”
From Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019 (2021) · cites this paper as [271]
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
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Cited by
Sorted by citations
Hou, R., & Xia, Y. (2021) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2020.115741 · Cited by 674
Metadata
- Authors
- OBrien, E. J., & Keenahan, J.
- Affiliations
- University College Dublin (IE)
- Corresponding author
- OBrien, E. J.
- Venue
- Structural Control and Health Monitoring
- Publisher
- Wiley
- Published
- 2014-11-14
- Volume
- 22
- Issue
- 5
- Pages
- 813-825
- ISSN
- 1545-2255 (ISSN-L)
- OpenAlex
- W2144290621
- Cited by
- 92
- References
- 1
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 17 · 2023: 16 · 2022: 4 · 2021: 7 · 2020: 6 · 2019: 8 · 2018: 4 · 2017: 11 · 2016: 8 · 2015: 2
- FWCI
- 13.43
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Structural Control and Health Monitoring (publishedVersion)
- Research Repository UCD (University College Dublin) (submittedVersion, cc-by-nc-nd)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion, cc-by-nc-nd)
- Funders
- Science Foundation Ireland (10US1856)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
- Physical Sciences › Engineering › Civil and Structural Engineering › Transport Systems and Technology
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Keywords
- bridge damage detection, traffic speed deflectometer, damage index, vehicle-mounted sensors, pavement deflection measurement, simply supported beams, stiffness loss, noise robustness
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