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Seismic resilience assessment of urban interdependent lifeline networks

Author

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  • Xiao, Yuanhao
  • Zhao, Xudong
  • Wu, Yipeng
  • Chen, Zhilong
  • Gong, Huadong
  • Zhu, Lihong
  • Liu, Ying

Abstract

With increasing interdependence of various lifeline networks, natural disasters, especially seismic disasters damage will further degrade overall network performance. Hence, based on the concept of risk, reliability and vulnerability, some scholars assessed the resilience of multi-layer lifeline networks. However few studies considered bidirectional interdependence of lifelines, which would immensely exacerbates the consequences of seismic disaster. And the existing research of resilience assessment generally assumed that lifeline networks can recover to their initial performance rather than limited recovery which is more practical. Therefore, this study presents a framework and method for assessing the resilience of lifeline networks. And a performance response function for interdependent lifelines is proposed based on its functional characteristics. Then, we use an IEEE 30-bus and Belgium 20-node gas interdependent network as examples to verify the effectiveness of the framework. The results showed that, for each network, the recovery resource and budget had various effects on the resilience. And our framework can provide a quick reference for optimal decision-making in various scenarios under seismic disasters.

Suggested Citation

  • Xiao, Yuanhao & Zhao, Xudong & Wu, Yipeng & Chen, Zhilong & Gong, Huadong & Zhu, Lihong & Liu, Ying, 2022. "Seismic resilience assessment of urban interdependent lifeline networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    • Handle: RePEc:eee:reensy:v:218:y:2022:i:pb:s0951832021006517
    DOI: 10.1016/j.ress.2021.108164
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    References listed on IDEAS

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    Cited by:

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    4. Wu, Yipeng & Chen, Zhilong & Dang, Junhu & Chen, Yicun & Zhao, Xudong & Zha, Lvying, 2022. "Allocation of defensive and restorative resources in electric power system against consecutive multi-target attacks," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
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    6. Wang, Nanxi & Yuen, Kum Fai, 2022. "Resilience assessment of waterway transportation systems: Combining system performance and recovery cost," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    7. Almoghathawi, Yasser & Selim, Shokri & Barker, Kash, 2023. "Community structure recovery optimization for partial disruption, functionality, and restoration in interdependent networks," Reliability Engineering and System Safety, Elsevier, vol. 229(C).

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