- author = "Dragan Savic and Orazio Giustolisi and Luigi Berardi and Will Shepherd and Slobodan Djordjevic and Adrian Saul",
- title = "Modelling sewer failure by evolutionary computing",
- journal = "Proceedings of the Institution of Civil Engineers: Water Management",
- year = "2006",
- volume = "159",
- number = "2",
- pages = "111--118",
- month = "1 " # jun,
- keywords = "genetic algorithms, genetic programming, failures/mathematical modelling, sewers and drains",
- ISSN = "1741-7589",
-
DOI = "
doi:10.1680/wama.2006.159.2.111",
- size = "8 pages",
- abstract = "The sewer system is a service that is expected to function without interruptions. Continuous assessment, maintenance and rehabilitation are the key to maintaining a required level of service at an acceptable cost. An appropriate and cost effective prioritisation scheme for periodical surveys could be built based on failure data collected by sewerage companies over time. Such a scheme could be achieved using data-driven modelling techniques jointly with engineering knowledge of the failure mechanisms. This paper presents a descriptive analysis performed on a real database containing collapse and blockage incident records for a large sewer system in the UK. Starting from a statistical study of both failure types, the most important variables are identified and a classification scheme is suggested. Then, using a hybrid modelling technique, evolutionary polynomial regression, two different formulas for blockage events and collapse failures are obtained and their engineering interpretation is offered.",
-
notes = "Paper 14342
Centre for Water Systems, University of Exeter, UK
Civil and Environmental Engineering Department, Technical University of Bari, Italy
Pennine Water Group, University of Sheffield, UK
Thomas Telford Ltd.",
