Deterioration Modeling and Failure Analysis of Water Distribution Networks

Thikra Dawood, Emad Elwakil, Hector Mayol Novoa, Jose Fernando Garate Delgado

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a novel framework for the deterioration modeling in conjunction with quantifying the water network's failure index. It involves developing a method and an intelligent model using Monte Carlo Simulation to estimate the deterioration indices (DIs) of watermains through intricate iterative simulations. The developed method is implemented on the water system of the City of El Pedregal in Peru. The efficacy of this framework has been verified against the multiple linear regression (MLR) method and proved to be sound. The developed framework provides insights for infrastructure managers in the aspects of, when to intervene, what to maintain, replace, or rehabilitate.

Original languageEnglish
Title of host publication2022 IEEE Conference on Technologies for Sustainability, SusTech 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages150-153
Number of pages4
ISBN (Electronic)9781665406642
DOIs
StatePublished - 2022
Event9th Annual IEEE Conference on Technologies for Sustainability, SusTech 2022 - Virtual, Online, United States
Duration: 21 Apr 202222 Apr 2022

Publication series

Name2022 IEEE Conference on Technologies for Sustainability, SusTech 2022

Conference

Conference9th Annual IEEE Conference on Technologies for Sustainability, SusTech 2022
Country/TerritoryUnited States
CityVirtual, Online
Period21/04/2222/04/22

Bibliographical note

Funding Information:
This work is supported by the collaboration of the Universidad Nacional de San Agust n (UNSA) in Arequipa, Peru, and Purdue University in Indiana, USA, through Discovery Park's Center for the Environment (C4E).

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Deterioration
  • Infrastructure
  • modeling
  • Pipe failure
  • risk
  • Water distribution networks

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