Sewer pipeline operational condition prediction using multiple regression

Fazal Chughtai, Tarek Zayed

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

15 Citations (Scopus)

Abstract

One of the key factors for better performance of sewer pipeline networks is proper monitoring of existing operational or hydraulic condition of pipes. The hydraulic performance of sewer networks involves many uncertainties and is dependent upon vulnerability and retention capacity of each pipe segment in the concerned network. Random inspections of pipes are expensive. This paper suggests an objective methodology for evaluating operational condition of pipes. A multiple regression model is developed on the basis of historic condition assessment data for predicting existing operational condition rating of sewers. The regression model produces a most likely existing operational condition rating of pipes by utilizing simple inventory data. The developed model is intended to assist municipal engineers in identifying critical segments influencing overall hydraulic performance of the system.
Original languageEnglish
Title of host publicationPipelines 2007
Subtitle of host publicationAdvances and Experiences with Trenchless Pipeline Projects - Proceedings of the ASCE International Conference on Pipeline Engineering and Construction
Pages18
Number of pages1
DOIs
Publication statusPublished - 27 Nov 2007
Externally publishedYes
EventPipelines 2007: Advances and Experiences with Trenchless Pipeline Projects - Boston, MA, United States
Duration: 8 Jul 200711 Jul 2007

Conference

ConferencePipelines 2007: Advances and Experiences with Trenchless Pipeline Projects
Country/TerritoryUnited States
CityBoston, MA
Period8/07/0711/07/07

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanics of Materials
  • Metals and Alloys

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