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<p>Efficient post-earthquake restoration of the water distribution system (WDS) is vital for urban resilience. Existing research has proposed numerous approaches for identifying optimal recovery sequences, including component importance-based methods and multi-objective optimization techniques. Due to their low cost and high efficiency, component importance-based repair sequences are widely adopted in current studies. Current component importance-based repair sequences mainly rely on static structural metrics, failing to reconcile heterogeneous nodes and links, capture dynamic operational attributes, or explore alternative coupling paradigms, thereby hindering rapid WDS recovery. To address this gap, this study proposes a comprehensive decision-making approach for repair sequences. Firstly, earthquake-induced damage to the WDS is analyzed. Secondly, comprehensive component importance assessment methods are developed considering both structural and functional properties, yielding eleven repair sequences. Thirdly, Recovery Time and Resilience Loss are employed to evaluate WDS recovery efficiency. Finally, the approach is validated using the WDS in Shelby County to determine the optimal repair sequence. Results indicate that repair sequences should simultaneously consider the structural and functional importance of components. Furthermore, coupling structural and functional importance in a multiplicative paradigm yields optimal WDS recovery efficiency. These findings can facilitate post-disaster WDS recovery, thereby enhancing the resilience of urban WDSs.</p>

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A Comprehensive Study of Component Importance-Based Approaches for Optimal Post-Earthquake Repair Sequences of Water Distribution Systems

  • 期刊论文

  • 发表日期：

    2026年7月4日

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  • Fei Wang,
  • Yuwei Liu,
  • Zhijie Liu,
  • Yuanchun Kong,
  • Jiayi Zhou

摘要

Efficient post-earthquake restoration of the water distribution system (WDS) is vital for urban resilience. Existing research has proposed numerous approaches for identifying optimal recovery sequences, including component importance-based methods and multi-objective optimization techniques. Due to their low cost and high efficiency, component importance-based repair sequences are widely adopted in current studies. Current component importance-based repair sequences mainly rely on static structural metrics, failing to reconcile heterogeneous nodes and links, capture dynamic operational attributes, or explore alternative coupling paradigms, thereby hindering rapid WDS recovery. To address this gap, this study proposes a comprehensive decision-making approach for repair sequences. Firstly, earthquake-induced damage to the WDS is analyzed. Secondly, comprehensive component importance assessment methods are developed considering both structural and functional properties, yielding eleven repair sequences. Thirdly, Recovery Time and Resilience Loss are employed to evaluate WDS recovery efficiency. Finally, the approach is validated using the WDS in Shelby County to determine the optimal repair sequence. Results indicate that repair sequences should simultaneously consider the structural and functional importance of components. Furthermore, coupling structural and functional importance in a multiplicative paradigm yields optimal WDS recovery efficiency. These findings can facilitate post-disaster WDS recovery, thereby enhancing the resilience of urban WDSs.