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This paper provides a comprehensive (although not exhaustive) overview of a large body of work carried out in the last twenty years to quantify the structural deterioration of water mains by analysing historical performance data. The physical mechanisms that lead to pipe failure often require data that are not readily available and are costly to obtain.(More)
The effective planning of water distribution system renewal requires accurate quantification of the structural deterioration of water mains. As typical water distribution systems comprise hundreds and even thousands of buried pipes, direct inspection of all of them is often prohibitively expensive. Identifying water main breakage patterns over time is an(More)
Intrusion of contaminants into water distribution networks requires the simultaneous presence of three elements; contamination source, pathway and driving force. The existence of each of these elements provides 'partial' evidence (typically incomplete and non-specific) to the occurrence of contaminant intrusion into distribution networks. Evidential(More)
The pathways, through which water quality in the distribution network can be compromised, may be classified into five categories: intrusion of contaminants into the distribution system (e.g., through cross connection), regrowth of bacteria in pipes and distribution storage tanks, water treatment breakthrough, leaching of chemicals or corrosion products from(More)
This paper provides a comprehensive (although not exhaustive) overview of the physical/mechanical models that have been developed to improve the understanding of the structural performance of water mains. Several components have to be considered in modelling this structural behaviour. The residual structural capacity of water mains is affected by material(More)
The effective management of failure risk of buried infrastructure assets requires knowledge of their current condition, their rate of deterioration, the expected consequences of their failure and the owner's (decision-maker) risk tolerance. Fuzzy-based techniques seem to be particularly suited to modeling the deterioration of buried infrastructure assets,(More)