Abstract
The economic and social costs of pipe failures in water and wastewater systems are often large, emphasizing the need for development of replacement plans for critical pipes. These plans should balance investment with expected benefits in a risk-based management context. In addition to the need for a methodology for solving such a problem, analysts and water system managers need reliable and robust failure models for assessing network performance. In particular, they are interested in assessing how likely an asset is to fail and how to assign criticality to an individual asset. In this paper, pipe models are developed using a hybrid modeling technique, Evolutionary Polynomial Regression. This data-driven technique yields symbolic formulae that are intuitive and easily understandable by practitioners. The case studies involve failure model development for water distribution and wastewater systems in the UK and entail the collection of historical data to develop network performance indicators. By using Evolutionary Polynomial Regression, formulas for failures (bursts for water distribution and blockage and collapse events for wastewater systems) are obtained and their engineering interpretation is offered.
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Savic, D.A. (2009). The Use of Data-Driven Methodologies for Prediction of Water and Wastewater Asset Failures. In: Hlavinek, P., Popovska, C., Marsalek, J., Mahrikova, I., Kukharchyk, T. (eds) Risk Management of Water Supply and Sanitation Systems. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2365-0_16
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DOI: https://doi.org/10.1007/978-90-481-2365-0_16
Publisher Name: Springer, Dordrecht
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