Markov Chain–Based Inspection and Maintenance Model for Stormwater Pipes
Publication: Journal of Water Resources Planning and Management
Volume 147, Issue 11
Abstract
Inspection and maintenance (M&R) of a buried network of stormwater drainage pipes is a challenging task for asset engineers due to a large number of pipes and restricted access. A Markov-based inspection model with a computational procedure was developed to estimate the lowest-cost inspection interval for various pipe conditions and an average total of M&R cost. The computational procedure is based on the innovative application of Markov deterioration model, the cost rate function, and Monte Carlo simulation. The results from a real case study show that the lowest-cost inspection intervals for stormwater pipe assets with a starting good condition of 1 are obtained between 9 and 11 years. The average number of undetected failure condition due to longer inspection interval is also presented and can be important in selecting the inspection interval when failure risk is concerned. The effect of penalty cost is shown to affect both the average cost rate and lowest-cost inspection interval. The annual interest rate is found to have a significant effect on total cost but has no impact on inspection interval.
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Data Availability Statement
All data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
Support provided by Mr. Martin Wong of the city council in Australia is gratefully acknowledged. The authors would like to thank the editor, associate editor, and anonymous referees for their useful suggestions that helped to improve the quality of the paper.
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Published In
Journal of Water Resources Planning and Management
Volume 147 • Issue 11 • November 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Jan 25, 2021
Accepted: Jul 13, 2021
Published online: Aug 31, 2021
Published in print: Nov 1, 2021
Discussion open until: Jan 31, 2022
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