Defect-Based ArcGIS Tool for Prioritizing Inspection of Sewer Pipelines
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 9, Issue 4
Abstract
This paper presents a defect-based model for assessing risk of failure for sewer pipelines. The proposed model deploys a Sugeno fuzzy inference system to create a risk index from which inspection and replacement activities may be prioritized. To determine the likelihood of failure, dynamic Bayesian network (DBN) was used as an inference engine to predict the likelihood of sewer pipeline failure based on both probable defects that could occur and some pipeline characteristics. The consequences of failure were determined using an economic loss model that assumed both costs resulting from the failure of sewer pipelines and benefits from avoiding such failures. An ArcGIS tool was created using the Python programming language to perform the Sugeno fuzzy inference method and determine the risk of failure by combining both the likelihood and consequences of failure. Actual data for inspected sewer pipelines in Doha, Qatar, were used to validate the tool; in the validation, the pipelines from the model were compared with the inspected pipelines. It was found that, if deployed, the proposed tool could save more than 77% over the current inspection practices followed by municipalities. It is expected that the resulting risk map would help key personnel in municipalities to identify sewer pipelines that require immediate interventions and would assist in better planning for inspection programs, especially in cases of limited funds.
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Acknowledgments
This publication was made possible by National Priorities Research Program (NPRP) Grant No. (NPRP6-357-2-150) from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors. Also the authors would like to thank the public works authority of Qatar (Ashghal) for their support in the data collection.
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Published In
Journal of Pipeline Systems Engineering and Practice
Volume 9 • Issue 4 • November 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Oct 16, 2017
Accepted: Apr 20, 2018
Published online: Jul 24, 2018
Published in print: Nov 1, 2018
Discussion open until: Dec 24, 2018
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