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A rapid reliability estimation method for directed acyclic lifeline networks with statistically dependent components

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  • Kang, Won-Hee
  • Kliese, Alyce

Abstract

Lifeline networks, such as transportation, water supply, sewers, telecommunications, and electrical and gas networks, are essential elements for the economic and societal functions of urban areas, but their components are highly susceptible to natural or man-made hazards. In this context, it is essential to provide effective pre-disaster hazard mitigation strategies and prompt post-disaster risk management efforts based on rapid system reliability assessment. This paper proposes a rapid reliability estimation method for node-pair connectivity analysis of lifeline networks especially when the network components are statistically correlated. Recursive procedures are proposed to compound all network nodes until they become a single super node representing the connectivity between the origin and destination nodes. The proposed method is applied to numerical network examples and benchmark interconnected power and water networks in Memphis, Shelby County. The connectivity analysis results show the proposed method's reasonable accuracy and remarkable efficiency as compared to the Monte Carlo simulations.

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  • Kang, Won-Hee & Kliese, Alyce, 2014. "A rapid reliability estimation method for directed acyclic lifeline networks with statistically dependent components," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 81-91.
    • Handle: RePEc:eee:reensy:v:124:y:2014:i:c:p:81-91
    DOI: 10.1016/j.ress.2013.11.015
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    Cited by:

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    2. He, Jun, 2021. "An extended recursive decomposition algorithm for dynamic seismic reliability evaluation of lifeline networks with dependent component failures," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    3. Li, Jian & Dueñas-Osorio, Leonardo & Chen, Changkun & Shi, Congling, 2016. "Connectivity reliability and topological controllability of infrastructure networks: A comparative assessment," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 24-33.
    4. ValinÄ ius, Mindaugas & ŽutautaitÄ—, Inga & Dundulis, Gintautas & RimkeviÄ ius, Sigitas & Janulionis, Remigijus & Bakas, Rimantas, 2015. "Integrated assessment of failure probability of the district heating network," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 314-322.
    5. Fathollah Bistouni & Mohsen Jahanshahi, 2016. "Reliability analysis of multilayer multistage interconnection networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(3), pages 529-551, July.
    6. Bistouni, Fathollah & Jahanshahi, Mohsen, 2015. "Evaluating failure rate of fault-tolerant multistage interconnection networks using Weibull life distribution," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 128-146.
    7. Wang, Jie & Zhang, Yangyi & Li, Shunlong & Xu, Wencheng & Jin, Yao, 2024. "Directed network-based connectivity probability evaluation for urban bridges," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    8. Bistouni, Fathollah & Jahanshahi, Mohsen, 2014. "Analyzing the reliability of shuffle-exchange networks using reliability block diagrams," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 97-106.

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