An evolutionary approach to modelling concrete degradation due to sulphuric acid attack
- Submitting institution
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The University of Birmingham
- Unit of assessment
- 12 - Engineering
- Output identifier
- 42671549
- Type
- D - Journal article
- DOI
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10.1016/j.asoc.2014.08.044
- Title of journal
- Applied Soft Computing
- Article number
- -
- First page
- 985
- Volume
- 24
- Issue
- -
- ISSN
- 1568-4946
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2014
- URL
-
-
- Supplementary information
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- 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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1
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Corrosion of concrete due to sulphuric acid attack (SAA) is responsible for the degradation and collapse of sewer pipes and can cause significant expenditure and even life-threatening incidents. This paper introduces a wholly new and innovative model to predict deterioration of concrete pipes exposed to SAA using artificial intelligence (AI). The idea behind this work forms one of the fundamental pillars of a collaborative project between India and the UoB funded by British Council. Furthermore, the paper was used in an ENCORE workshop (https://envbldg.shef.ac.uk/?q=events/buried-utility-network-workshop) to develop models to predict the behaviour of buried assets.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -