A drive-by inspection system via vehicle moving force identification
- Submitting institution
-
Queen's University of Belfast
- Unit of assessment
- 12 - Engineering
- Output identifier
- 120352537
- Type
- D - Journal article
- DOI
-
10.12989/sss.2014.13.5.821
- Title of journal
- Smart Structures and Systems
- Article number
- -
- First page
- 821
- Volume
- 13
- Issue
- 5
- ISSN
- 1738-1584
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
B - Civil and Construction
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper novelly utilises Moving Force Identification (MFI) theory as a vehicle based monitoring approach for pavements and bridges. This approach was validated at laboratory scale in a subsequent paper (https://journals.sagepub.com/doi/10.1177/1475921715578314) for a range of vehicle properties. The resulting experimental data has been utilised for validation of drive-by methods at: University of Alabama, USA, The Norwegian University of Science and Technology and subsequent research at Kyoto University and University College Dublin. Field validation of this approach has been implemented by collaborators at Kyoto University, with bridges provided for testing by bridge owners and local authorities in Japan (kim.chulwoo.5u@kyoto-u.ac.jp).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
