Fuzzy Logic-Based Model for Optimal Renewal Timing and Project Selection of Ferrous Water Mains
Publication: Pipelines 2022
ABSTRACT
Today’s water utility asset managers are faced with decisions that inherently define the nation’s standard of living with regard to how best to maintain large diameter water pipes. Pipes have a life cycle that is not always well-defined or easily understood due to their unseen nature; hence, they are often replaced per leak rates or according to roadway surface management. This can result in the decommissioning of pipes that still have years of functional life remaining. In fact, some experts say that 90% of this type of pipe is replaced too early; this translates to tens of millions of dollars wasted each year nationwide. This paper presents the results of a study seeking to best define water main economic life by harnessing newly developed pipeline performance models, trained from data collected from across North America in an unprecedented manner as part of the PIPEiD Project. The models were used to drive a fuzzy logic-based algorithm for pipeline renewal project selection and timing based on economic life, which would then greatly reduce overall life cycle cost over the planning window.
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Pipelines 2022
Pages: 304 - 312
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Published online: Jul 28, 2022
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