Wastewater Pipe Probability and Consequence of Failure Rating Model for Decision Making
Publication: Pipelines 2023
ABSTRACT
In wastewater systems, the pipe’s probability of failure (POF) and consequence of failure (COF) must be determined as part of a risk-based decision framework. By identifying the POF and COF, decision-makers can make a more informed decision about current and future rehabilitation and replacement project planning. In this study, a new risk assessment model is developed using continuous-time Markov chain (CTMC) for computing the probability of failure and the weighted average along with the weighted rating method to find the consequences of failure. Finally, the model was applied to a northeastern Louisiana wastewater network as a case study. The results showed the POF of the pipe for the next 200 years and corrosion, soil type, and waste type are the main consequences involving more costs of failure 40% of pipes need moderate to high costs, and 7% of pipes need high costs. Unfortunately, the developed model could not be validated because of insufficient data.
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REFERENCES
Anbari, M. J., Tabesh, M., and Roozbahani, A. (2017). “Risk assessment model to prioritize sewer pipes inspection in wastewater collection networks.” Journal of environmental management, 190, 91–101.
ASCE. (2021). “2021 Infrastructure Report Card.” <https://www.infrastructurereportcard.org>. (Novermber 11, 2021, 2021).
Baik, H.-S., Jeong, H. S., and Abraham, D. M. (2006). “Estimating transition probabilities in Markov chain-based deterioration models for management of wastewater systems.” Journal of water resources planning and management, 132(1), 15–24.
Betgeri, S. N. (2022). Analytic Hierarchy Process is not a Suitable method for the Comprehensive Rating.
Betgeri, S. N., Vadyala, S. R., Mattews, D., John, C., and Lu, D. (2022). “Wastewater Pipe Rating Model Using Natural Language Processing.” arXiv preprint arXiv:2202.13871.
Betgeri, S. N., Vadyala, S. R., Matthews, J. C., Madadi, M., and Vladeanu, G. (2022). “Wastewater Pipe Condition Rating Model Using K-Nearest Neighbors.” arXiv preprint arXiv:2202.11049.
Chughtai, F., and Zayed, T. (2008). “Clustered Models for the Integration of Sewer Condition Classification Protocols.” Pipelines 2008: Pipeline Asset Management: Maximizing Performance of our Pipeline Infrastructure, 1–11.
Kallen, M. “A comparison of statistical models for visual inspection data.” Proc., Safety, Reliability and Risk of Structures, Infrastructures and Engineering Systems, Proceedings of the Tenth International Conference on Structural Safety and Reliability (ICOSSAR’2009), Citeseer, 3235–3242.
Kulkarni, V. (1995). Modeling and analysis of stochastic systems (Vol. 36). Crc Press.
Najafi, M., and Kulandaivel, G. (2005). “Pipeline condition prediction using neural network models.” Pipelines 2005: Optimizing Pipeline Design, Operations, and Maintenance in Today’s Economy, 767–781.
Pfeuffer, M. (2017). “ctmcd: An R Package for Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data.” R Journal, 9(2).
Report, I. (2021). “Infrastructure Report ”, <https://infrastructurereportcard.org/cat-item/drinking-water/>. (December 7, 2021, 2021).
Sai Nethra Betgeri, J. C. M., and Smith, D. B. “Comparison of Sewer Conditions Ratings with Repair Recommendation Reports.” Proc., North American Society for Trenchless Technology (NASTT) 2021, https://member.nastt.org/products/product/2021-TM1-T6-01.
Salem, O., Salman, B., and Najafi, M. (2012). “Culvert asset management practices and deterioration modeling.” Transportation research record, 2285(1), 1–7.
USEPA. (2004). Report to Congress: Impacts and Control of Combined Sewer Overflows and Sanitary Sewer Overflows.
Vladeanu, G., and Matthews, J. C. (2018). “Analysis of risk management methods used in trenchless renewal decision making.” Tunnelling and Underground Space Technology, 72, 272–280.
Wirahadikusumah, R., Abraham, D., and Iseley, T. (2001). “Challenging issues in modeling deterioration of combined sewers.” Journal of infrastructure systems, 7(2), 77–84.
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Published online: Aug 10, 2023
ASCE Technical Topics:
- Analysis (by type)
- Benefit cost ratios
- Business management
- Case studies
- Engineering fundamentals
- Environmental engineering
- Failure analysis
- Financial management
- Geomechanics
- Geotechnical engineering
- Infrastructure
- Mathematics
- Methodology (by type)
- Pipe failures
- Pipeline management
- Pipeline systems
- Pipes
- Practice and Profession
- Probability
- Research methods (by type)
- Soil dynamics
- Soil mechanics
- Soil-pipe interaction
- Wastewater management
- Water treatment
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