TECHNICAL PAPERS
Aug 14, 2009

Failure Assessment Modeling to Prioritize Water Pipe Renewal: Two Case Studies

Publication: Journal of Infrastructure Systems
Volume 15, Issue 3

Abstract

Studies indicate an urgent need to upgrade the nation’s aging and deteriorating water distribution systems so they can provide customers with reliable and safe water supplies. In response, water utilities apply performance measurement initiatives including pipeline asset management, which requires condition assessment to identify failure-prone pipes and prioritize their renewal. However, the below-ground location of pipes and lack of standard guidelines or tools make pipeline assessment and renewal decisions difficult. This paper presents a model that uses data commonly found in utilities to assist them with their pipe renewal decisions. The model has unique features that increase its responsiveness to industry needs, and it was developed and tested with collaboration of utility professionals. Two case studies illustrate the model’s application to the study of pipes in early and late performance stages while addressing the data limitations and risk averse characteristics of the industry.

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Acknowledgments

The writers extend their special thanks to Don Wilaby and David Totman from Colorado Springs Utilities and Cal Van Zee from Laramie Water for their willingness to participate as case studies and for their invaluable assistance during the model’s development. The writers also thank the focus group participants from the city of Albuquerque, city of Loveland Department of Water and Power, Mobile Area Water and Sewer System, New Mexico Environmental Finance Center, and the Suffolk County Water Authority.

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Information & Authors

Information

Published In

Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 15Issue 3September 2009
Pages: 162 - 171

History

Received: Aug 21, 2006
Accepted: Jan 29, 2009
Published online: Aug 14, 2009
Published in print: Sep 2009

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Authors

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Peter D. Rogers, P.E. [email protected]
Assistant Professor, Univ. of Texas at Tyler, Tyler, TX 75799 (corresponding author). E-mail: [email protected]
Neil S. Grigg, M.ASCE [email protected]
Professor, Colorado State Univ., Fort Collins, CO 80523. E-mail: [email protected]

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