Investigation of Factors Affecting Remaining Useful Life of Prestressed Concrete Cylinder Pipes
Publication: Pipelines 2023
ABSTRACT
The water distribution system in the United States consists of 2.2 million miles of pipelines with water main breaks that the American Society of Civil Engineers (ASCE) 2021 Report Card estimated results in six billion gallons of drinking water lost daily. Detecting the state of pipeline deterioration should always be a top priority in the water pipeline industry. This paper statistically evaluates data from more than 70,000 electromagnetic inspections that have been performed since the installation of these pipes in 1971. The scope of this paper is related to performance and degradation of prestressed concrete cylinder pipe (PCCP) which is used in large diameter water transmission to predict remaining useful life (RUL) using different modeling technologies such as the artificial neural network. The objective of this research is to prepare a model to predict the RUL of PCCP. The results showed that the artificial neural network (ANN) method is very accurate method for calculating the (RUL) with a 97.9% accuracy value. Broken wires and internal water pressure were found to be the most important parameters to calculate the RUL of PCCP for the two diameters 72- and 90-in. considered. This paper should serve as a guideline for future research designed to investigate additional diameters.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Alavinasab, A., Padewski, E., III, and Higgins, M. (2013). Effects of the Location of Broken Prestressing Wire Wraps in Structural Integrity of a Damaged PCCP. In Pipelines 2013: Pipelines and Trenchless Construction and Renewals—A Global Perspective (Pp. 767–774).
Devera, J. C. (2013). Risk assessment model for pipe rehabilitation and replacement in a water distribution system.
Ge, S. (2016). Development of a Numerical Model to Analyze the Condition of Prestressed Concrete Cylinder Pipe (PCCP) (Doctoral dissertation, Virginia Tech).
Hajali, M., Alavinasab, A., and Shdid, C. A. (2015). Effect of The Location of Broken Wire Wraps on The Failure Pressure of Prestressed Concrete Cylinder Pipes. Structural Concrete, 16(2), 297–303.
Jibreen, A. M. A. (2023). Investigation of Models to Predict the Remaining Useful Life of Prestressed Concrete Cylinder Pipe (Doctoral dissertation).
Malek Mohammadi, M. (2019). Development of Condition Prediction Models for Sanitary Sewer Pipes (Doctoral Dissertation).
Manda, R. (2012). Performance of Prestressed Concrete Cylinder Pipe (PCCP) In Water Applications. The University of Texas at Arlington.
Najafi, M., and Kulandaivel, G. (2005). “Pipeline condition prediction using neural network Models.” In Pipelines 2005: Optimizing Pipeline Design, Operations, and Maintenance in Today’s Economy, pp. 767–781.
Najafi, M. (2016). Pipeline Infrastructure Renewal and Asset Management. McGraw-Hill Professional.
Nemeth, L. J. (2016). A Comparison of Risk Assessment Models for Pipe Replacement and Rehabilitation in A Water Distribution System.
Tavakoli, R. (2018). Remaining Useful Life Prediction of Water Pipes Using Artificial Neural Network and Adaptive Neuro Fuzzy Inference System Models (Doctoral Dissertation).
WRF (Water Research Foundation). (2008). Failure of prestressed concrete cylinder pipe, a WRF publication available to subscribers at https://www.waterrf.org/resource/failure prestressedconcrete-cylinder-pipe-pccp-1.
Zangenehmadar, Z., and Moselhi, O. (2016). Assessment of Remaining Useful Life of Pipelines Using Different Artificial Neural Networks Models. J. Perform. Constr. Facil, 30(5), 04016032.
Zarghamee, M. S., Ojdrovic, R. P., and Nardini, P. D. (2011). Prestressed Concrete Cylinder Pipe Condition Assessment—What Works, What Doesn’t, What’s Next. In Pipelines 2011: A Sound Conduit for Sharing Solutions (Pp. 182–194).
Information & Authors
Information
Published In
History
Published online: Aug 10, 2023
ASCE Technical Topics:
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Concrete
- Concrete cylinder pipes
- Concrete pipes
- Continuum mechanics
- Dynamics (solid mechanics)
- Engineering materials (by type)
- Engineering mechanics
- Infrastructure
- Materials engineering
- Materials processing
- Neural networks
- Pipeline systems
- Pipelines
- Pipes
- Pressure (type)
- Prestressed concrete
- Prestressing
- Solid mechanics
- Water and water resources
- Water management
- Water pipelines
- Water pressure
- Water supply
- Water supply systems
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.