abstract = "The economic and social costs of pipe failures in
water and wastewater systems are increasing, putting
pressure on utility managers to develop annual
replacement plans for critical pipes that balance
investment with expected benefits in a risk-based
management context. In addition to the need for a
strategy for solving such a multi-objective problem,
analysts and water system managers need reliable and
robust failure models for assessing network
performance. In particular, they are interested in
assessing a conduit's propensity to fail and how to
assign criticality to an individual pipe segment. pipe
deterioration is modelled using Evolutionary Polynomial
Regression. This data-driven technique yields symbolic
formulae that are intuitive and easily understandable
by practitioners. The case study involves a water
quality zone within a distribution system and entails
the collection of historical data to develop network
performance indicators. Finally, an approach for
incorporating such indicators into a decision support
system for pipe rehabilitation/replacement planning is
introduced and articulated.",
notes = "Fig 5 bathtub curve
Hydroinformatics Group, Technical University of Bari,
via Orabona 4, I-70125, Bari, Italy",