Chapter
Apr 26, 2012
Rule Based Simulation Models for Sewer Infrastructure
Authors: Janaka Ruwanpura, Ph.D., Samuel T. Ariaratnam, Ph.D., and Ashraf El-Assaly, Ph.D.Author Affiliations
Publication: Construction Research Congress: Wind of Change: Integration and Innovation
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.
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© 2003 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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Authors
Affiliations
Janaka Ruwanpura, Ph.D.
A.M.ASCE
Assistant Professor, Dept. of Civil Engineering, University of Calgary, 2500, University Drive NW, Calgary, AB T2N 1N4
Samuel T. Ariaratnam, Ph.D.
P.E.
M.ASCE
Associate Professor, Del E. Webb School of Construction, Arizona State University, P.O. Box 870204, Tempe, AZ 85287-0204
Ashraf El-Assaly, Ph.D.
A.M.ASCE
Project Manager, CoSyn Technology, 101-9405, 50th Street, Edmonton, AB, T6B 2T4
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