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Managing water main breaks in distribution networks––A risk-based decision making

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  • Phan, Hieu Chi
  • Dhar, Ashutosh Sutra
  • Hu, Guangji
  • Sadiq, Rehan

Abstract

Water distribution network (WDN) is an important infrastructure which suffers from failures. A risk-based decision making required for maintaining the integrity of water mains effectively. This paper presents a framework for risk assessment of pipes in a WDN for maintenance prioritization. Because pipe failure can lead to various types of consequences, a fuzzy inference system (FIS) is proposed to aggregate different consequences. The properties of algebraic connectivity (AC) from complex network analysis are used to assess the topological consequence accounting for the change in redundancy of the network and the service disruption due to isolation of nodes. The AC-based approach is found to reasonably correspond to the hydraulic importance of the pipes determined through hydraulic analysis for the most critical pipes. Other consequences such as cost of repair and effects on the community can be determined using relevant consequence parameters such as diameter and are combined with the topological consequence using FIS for risk assessment. Based on the risk analysis, a risk map can be developed, highlighting the pipes with high risk levels for prioritization planning. A relationship between the risk and maximum failure probability of pipes within a network is developed for selecting the thresholds for decision making.

Suggested Citation

  • Phan, Hieu Chi & Dhar, Ashutosh Sutra & Hu, Guangji & Sadiq, Rehan, 2019. "Managing water main breaks in distribution networks––A risk-based decision making," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
  • Handle: RePEc:eee:reensy:v:191:y:2019:i:c:s0951832018313899
    DOI: 10.1016/j.ress.2019.106581
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    References listed on IDEAS

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    1. H. Jun & G. Loganathan & J. Kim & S. Park, 2008. "Identifying Pipes and Valves of High Importance for Efficient Operation and Maintenance of Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(6), pages 719-736, June.
    2. Alessandro Pagano & Irene Pluchinotta & Raffaele Giordano & Umberto Fratino, 2018. "Integrating “Hard” and “Soft” Infrastructural Resilience Assessment for Water Distribution Systems," Complexity, Hindawi, vol. 2018, pages 1-16, June.
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    Citations

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    Cited by:

    1. Mehryar, Mehdi & Hafezalkotob, Ashkan & Azizi, Amir & Sobhani, Farzad Movahedi, 2023. "Dynamic zoning of the network using cooperative transmission and maintenance planning: A solution for sustainability of water distribution networks," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    2. Chadha, Mayank & Ramancha, Mukesh K. & Vega, Manuel A. & Conte, Joel P. & Todd, Michael D., 2023. "The modeling of risk perception in the use of structural health monitoring information for optimal maintenance decisions," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    3. Salehi, Sattar & Robles-Velasco, Alicia & Seyedzadeh, Ali & Ghazali, Aliakbar & Davoudiseresht, Mohsen, 2022. "A hybrid knowledge-based method for pipe renewal planning in Water Distribution Systems with limited data: Application to Iran," Utilities Policy, Elsevier, vol. 78(C).
    4. Ramos-Salgado, Cristóbal & Muñuzuri, Jesús & Aparicio-Ruiz, Pablo & Onieva, Luis, 2021. "A decision support system to design water supply and sewer pipes replacement intervention programs," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    5. Rifaai, Talha M. & Abokifa, Ahmed A. & Sela, Lina, 2022. "Integrated approach for pipe failure prediction and condition scoring in water infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    6. Chen, Weiyi & Zhang, Limao, 2021. "Resilience assessment of regional areas against earthquakes using multi-source information fusion," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    7. Ramos-Salgado, Cristóbal & Muñuzuri, Jesús & Aparicio-Ruiz, Pablo & Onieva, Luis, 2022. "A comprehensive framework to efficiently plan short and long-term investments in water supply and sewer networks," Reliability Engineering and System Safety, Elsevier, vol. 219(C).

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