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EnglishThe sewer system is a service that is expected to function without interruptions. Contin-uous assessment, maintenance and rehabilitation are the key to maintain 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 compa-nies 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 United Kingdom. Starting from a sta-tistical study of both failure types, the most important variables are identified and a classification scheme is suggested. Then, using a hybrid modelling technique, Evolu-tionary Polynomial Regression, two different formulas for blockage events and collapse failures are obtained and their engineering interpretation is offered.
| Titolo: | Modelling sewer failure by evolutionary computing |
| Autori: | |
| Data di pubblicazione: | 2006 |
| Rivista: | |
| Abstract: | The sewer system is a service that is expected to function without interruptions. Contin-uous assessment, maintenance and rehabilitation are the key to maintain 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 compa-nies 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 United Kingdom. Starting from a sta-tistical study of both failure types, the most important variables are identified and a classification scheme is suggested. Then, using a hybrid modelling technique, Evolu-tionary Polynomial Regression, two different formulas for blockage events and collapse failures are obtained and their engineering interpretation is offered. |
| Handle: | http://hdl.handle.net/11564/706541 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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