Technical Papers
Feb 6, 2012

Performance of Ductile Iron Pipes. II: Sampling Scheme and Inferring the Pipe Condition

Publication: Journal of Infrastructure Systems
Volume 19, Issue 1

Abstract

Ductile iron (DI) pipes have been used in North America since the late 1950s. This paper describes how understanding gained on the geometry of external corrosion pits is used to devise a sampling scheme and to infer the condition of ductile iron buried water mains. The companion paper describes the exhumation of varying lengths of ductile iron pipes in four North American water utilities. The exhumed pipes were cut into sections, sandblasted, and tagged. Soil samples extracted along the exhumed pipe were also provided. Pipe sections were scanned for external corrosion using a laser scanner to produce corrosion pit data sets. Statistical analyses were performed on geometric properties of corrosion pits such as pit depth, pit area, and pit volume. These analyses were developed further to assess the impact of the different soil characteristics on these pit properties. This paper describes the investigation of appropriate sampling schemes to represent the statistical properties of ductile iron pipe corrosion. With known statistical properties, an approach is developed to infer the condition of the pipe.

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Acknowledgments

This research project was cosponsored by the Water Research Foundation (WaterRF), the National Research Council of Canada (NRC), and water utilities from the United States, Canada, and Australia.

References

Aziz, P. M. (1956). “Application of the statistical theory of extreme values to the analysis of maximum pit depth data for aluminum.” Corrosion, 12(1), 35–46.
Hawn, D. E. (1977). “Extreme value prediction of maximum pits on pipelines.” Mater. Perform., 16(1), 29–32.
Hay, L. S. (1984). “The influence of soil properties on the performance of underground pipelines.” M.Sc. thesis, Dept. of Soil Science, Univ. of Sydney, Sydney, Australia.
Kleiner, Y., Rajani, B., and Krys, D. (2013). “Performance of ductile iron pipes. I: Characterization of external corrosion patterns.” J. Infrastruct. Syst., 19(1), 108–119.
Kovácová, M. (2009). “Reliability likelihood ratio confidence bounds.” Aplimat—J. Appl. Math., 2(3), 217–225.
Rajani, B., Kleiner, Y., and Krys, D. (2012). “Long-term performance of ductile iron pipe.”, Water Research Foundation, Denver.
Reliasoft. (2008). “Life data analysis reference.” Reliasoft Corporation, Tucson, AZ.

Information & Authors

Information

Published In

Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 19Issue 1March 2013
Pages: 120 - 128

History

Received: Jun 7, 2011
Accepted: Dec 22, 2011
Published online: Feb 6, 2012
Published in print: Mar 1, 2013

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Authors

Affiliations

Yehuda Kleiner [email protected]
M.ASCE
National Research Council of Canada, Institute for Research in Construction, 1200 Montreal Rd., Ottawa, ON K1A 0R6, Canada (corresponding author). E-mail: [email protected]
Balvant Rajani
National Research Council of Canada, Institute for Research in Construction, 1200 Montreal Rd., Ottawa, ON K1A 0R6, Canada.

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