A reliability-based optimization scheme for maintenance management in large-scale bridge networks

Xiaofei Hu, Carlos Daganzo, Samer Madanat

    Research output: Contribution to journalArticle


    Incorporating network configurations in bridge management problems is computationally difficult. Because of the interdependencies among bridges in a network, they have to be analyzed together. Simulation-based numerical optimization techniques adopted in past research are limited to networks of moderate sizes. In this paper, a simple framework is developed to determine optimal maintenance plans for large networks with many bridges. The objective is to minimize disruption, specifically, the extra travel distance caused by potential bridge failures over a planning horizon and under a budget constraint. It is conjectured and then verified that the expected increase in vehicle-miles traveled due to failures can be approximated by the sum of expected increases due to individual failures. This allows the network-level problem to be decomposed into single-bridge problems and tackled efficiently. The computational effort increases linearly with the number of bridges.

    Original languageEnglish (US)
    Pages (from-to)166-178
    Number of pages13
    JournalTransportation Research Part C: Emerging Technologies
    StatePublished - Jun 1 2015



    • Bridge maintenance
    • Network
    • Optimization
    • User costs

    ASJC Scopus subject areas

    • Automotive Engineering
    • Transportation
    • Computer Science Applications
    • Management Science and Operations Research

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