Hierarchical fuzzy expert system for risk of failure of water mains

Hussam Fares, Tarek Zayed

Research output: Journal article publicationJournal articleAcademic researchpeer-review

65 Citations (Scopus)

Abstract

In Canada and the United States, there have been 700 water main breaks per day costing more than CAD 6 billion since 2000. Risk of failure is defined as the combination of probability and impact severity of a particular circumstance that negatively impacts the ability of infrastructure assets to meet municipal objectives. The presented research in this paper assists in designing a framework to evaluate the risk of water main failure using hierarchical fuzzy expert system (HFES). This system considers 16 risk-of-failure factors within four main categories representing both probability and negative consequences of failure. Results show that pipe age confers a strong impact on risk of failure followed by pipe material and breakage rate. They also show that damage to surroundings has the most negative consequence of a failure event. A set of municipal water network data are collected and used to examine the developed HFES. According to the proposed scale of risk of failure, about 8.4% (13 km) of the network's pipelines are risky and require mitigation actions in the short term.
Original languageEnglish
Pages (from-to)53-62
Number of pages10
JournalJournal of Pipeline Systems Engineering and Practice
Volume1
Issue number1
DOIs
Publication statusPublished - 26 Jan 2010
Externally publishedYes

Keywords

  • Hierarchical fuzzy expert system
  • Infrastructures
  • Risk of failure
  • Water mains

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

Cite this