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.

Modelling sewer failure by evolutionary computing / Savic, D.; Giustolisi, Orazio; Berardi, Luigi; Shepherd, W.; Djordjevic, S.; Saul, A.. - In: WATER MANAGEMENT. - ISSN 1741-7589. - 159:2(2006), pp. 111-118. [10.1680/wama.2006.159.2.111]

Modelling sewer failure by evolutionary computing

GIUSTOLISI, Orazio;BERARDI, Luigi;
2006-01-01

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.
2006
Modelling sewer failure by evolutionary computing / Savic, D.; Giustolisi, Orazio; Berardi, Luigi; Shepherd, W.; Djordjevic, S.; Saul, A.. - In: WATER MANAGEMENT. - ISSN 1741-7589. - 159:2(2006), pp. 111-118. [10.1680/wama.2006.159.2.111]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/2396
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