Data-based models for fatigue reliability of orthotropic steel bridge decks based on temperature, traffic and strain monitoring
- Submitting institution
-
The University of Surrey
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9002858_2
- Type
- D - Journal article
- DOI
-
10.1016/j.ijfatigue.2016.09.019
- Title of journal
- International Journal of Fatigue
- Article number
- -
- First page
- 104-119
- Volume
- 95
- Issue
- -
- ISSN
- 0142-1123
- Open access status
- Deposit exception
- Month of publication
- -
- Year of publication
- 2016
- 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
-
-
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The novel methodology presented in this paper, funded by the SmartEN ITN and carried out in collaboration with COWI who had access to the extensive monitoring data analysed in this study, has been adopted in fatigue assessments of other landmark structures, such as the Pont de Normandie (Contact: M. Clément Fasquel, Deputy Director of the bridge concessionaire CCITSE, cfasquel@ponts.seine-estuaire.cci.fr) and the New Little Belt Bridge (Contact: M. Niels Bitsch, Head of Section, Operation and Maintenance Department, COWI, neb@cowi.com), facilitating the development of inspection and maintenance planning and optimising resource and funding allocation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
