An evolutionary approach to modelling concrete degradation due to sulphuric acid attack
- Submitting institution
-
The University of West London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12025
- Type
- D - Journal article
- DOI
-
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
- -
- 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
-
1
- Research group(s)
-
-
- 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 degradation and collapse of sewer pipes and can cause significant expenditure and even life-threatening incidents. This paper introduces a whole new and innovative model to predict deterioration of concrete pipes exposed to SAA using artificial intelligence (AI). This paper presents results of an EPSRC funded project (EPSRC), grant number EP/1032150/1 which was supported by numerous industrial partners. Furthermore, the paper was used in an ENCORE http://envbldg.shef.ac.uk/?q=events/buried-utility-network-workshop to develop models to predict the behaviour of buried assets and champion an EPSRC proposal.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
