Development of a Fuzzy Inference Performance Index for Ferrous Drinking Water Pipelines
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 5, Issue 3
Abstract
Accurate prediction of water pipeline structural and functional deterioration plays an essential role in the utility asset management process and capital investment planning. A key to implementing an asset management strategy is a comprehensive understanding of asset condition and performance and how asset condition and performance change over time. The primary objective of this paper is to develop a fuzzy inference performance index for metallic drinking water pipelines. Furthermore, the developed fuzzy inference performance index is applied to the Western Virginia Water Authority (WVWA). Evaluation of the performance index is accomplished through testing of artificial, field, and lab data. Overall, the fuzzy inference performance model was successfully developed to aid in the evaluation of current drinking water infrastructure systems. The fuzzy inference performance model incorporated with an infrastructure management plan will aid in the prioritization of future inspection, repair, rehabilitation, and replacement of water mains.
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Acknowledgments
The authors would like to thank Jim O’Dowd and the Western Virginia Water Authority for their active support in the development and analysis of this model. The authors extend their special thanks to Shaoqing Ge, Berk Uslu, and Varun Sekar for help in the evaluation and testing of the performance index. The authors also appreciate all the participating utilities for their thorough review and insightful comments related to this research work.
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Information & Authors
Information
Published In
Journal of Pipeline Systems Engineering and Practice
Volume 5 • Issue 3 • August 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Jan 26, 2013
Accepted: Jan 23, 2014
Published online: Mar 6, 2014
Published in print: Aug 1, 2014
Discussion open until: Aug 6, 2014
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