Footbridge system identification using wireless inertial measurement units for force and response measurements
- Submitting institution
-
The University of Leicester
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1498
- Type
- D - Journal article
- DOI
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10.1016/j.jsv.2016.08.008
- Title of journal
- Journal of Sound and Vibration
- Article number
- -
- First page
- 339
- Volume
- 384
- Issue
- -
- ISSN
- 0022-460X
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
https://doi.org/10.1016/j.jsv.2016.08.008
- 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
-
7
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel modal parameter identification method is proposed using instrumented jumping humans as an excitation source for simple and reliable modal mass identification. This work led to an invited keynote lecture at Footbridge 2017 Conference. The proposed methodology was successfully applied in a consultancy project at National Gallery Singapore to evaluate the vibration serviceability of two footbridges (sushma.goh@nationalgallery.sg).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -