Rule Based Simulation Models for Sewer Infrastructure

Janaka Ruwanpura, Samuel Ariaratnam, Ashraf El-Assaly

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Predicting and evaluating the future condition of underground infrastructure systems has become a necessity for municipalities as they try to strategically plan for short-term and long-term budget allocation. Current practice is to first assess the condition of sewer lines and then translate these ratings into predictive models. Numerous predictive analytical modeling techniques have been utilized including the use of straight-line extrapolation, regression models, Markovian models, non-linear regression, artificial neural networks, and simulation. This paper presents the methodology of a model concluded very recently using rule based simulation to predict the condition rating of the local sewer network maintained by the City of Edmonton, Alberta.

Original languageEnglish (US)
Title of host publicationConstruction Research Cogress, Winds of Change
Subtitle of host publicationIntegration and Innovation in Construction, Proceedings of the Congress
EditorsK.R. Molenaar, P.S. Chinowsky
Pages1121-1128
Number of pages8
StatePublished - Dec 1 2003
EventConstruction Research Congress, Winds of Change: Integration and Innovation in Construction, Proceedings of the Congress - Honolulu, HI., United States
Duration: Mar 19 2003Mar 21 2003

Publication series

NameContruction Research Congress, Winds of Change: Integration and Innovation in Construction, Proceedings of the Congress

Other

OtherConstruction Research Congress, Winds of Change: Integration and Innovation in Construction, Proceedings of the Congress
Country/TerritoryUnited States
CityHonolulu, HI.
Period3/19/033/21/03

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • General Engineering

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