Bayesian operational modal analysis of Jiangyin Yangtze River Bridge
- Submitting institution
-
University of Exeter
- Unit of assessment
- 12 - Engineering
- Output identifier
- 5106
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2018.03.027
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- -
- First page
- 210
- Volume
- 110
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- 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
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7
- Research group(s)
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D - Dynamics and Control
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This describes technology funded by BAYOMALAW (£260k, EP/N017803/1) used to test a 1385m span suspension in mainland China with several world firsts: first modal test by a (largely) western research team of major Chinese infrastructure (Zhen Sun, 2393569166@qq.com); first time planning of a modal test using Bayesian uncertainty laws; first use of fully autonomous synchronised loggers we created for this purpose. The loggers have since enabled efficient un-cabled dynamic evaluation by spinout FSD of high profile London structures: premier league football stadium, London media HQ and Canary Wharf tower, with variants used in research on lighthouses, telecoms masts and bridges.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -