Reliability-based optimization of maintenance and repair for a system of bridges

C. A. Robelin, Samer Madanat

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This research addresses the determination of optimal bridge maintenance and replacement policies for a system of heterogeneous facilities. The problem of optimizing maintenance and replacement policies at the system level is formulated in a reliability-based framework, based on policies that are optimal at the facility level. The facility-level policies are determined using a finite-state, finite horizon Markov decision process in which the state of the Markov chain contains information on the history of maintenance and deterioration. This article provides formal proofs of the optimality of the system-level results in the continuous case, and a numerical study shows that the results obtained in the discrete-case implementation of the solution are valid approximations of the continuous-case results. The computational efficiency of the system-level solution makes the formulation suitable for systems of realistic sizes.

    Original languageEnglish (US)
    Title of host publicationApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
    Pages226-234
    Number of pages9
    StatePublished - Dec 1 2011
    Event11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP - Zurich, Switzerland
    Duration: Aug 1 2011Aug 4 2011

    Other

    Other11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP
    CountrySwitzerland
    CityZurich
    Period8/1/118/4/11

    Fingerprint

    Repair
    Maintenance
    Optimization
    Maintenance Policy
    Replacement Policy
    Computational efficiency
    Markov processes
    Deterioration
    Formal Proof
    Finite Horizon
    Markov Decision Process
    Computational Efficiency
    Numerical Study
    Markov chain
    Optimality
    Valid
    Formulation
    Approximation
    Policy

    ASJC Scopus subject areas

    • Civil and Structural Engineering
    • Statistics and Probability

    Cite this

    Robelin, C. A., & Madanat, S. (2011). Reliability-based optimization of maintenance and repair for a system of bridges. In Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering (pp. 226-234)

    Reliability-based optimization of maintenance and repair for a system of bridges. / Robelin, C. A.; Madanat, Samer.

    Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering. 2011. p. 226-234.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Robelin, CA & Madanat, S 2011, Reliability-based optimization of maintenance and repair for a system of bridges. in Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering. pp. 226-234, 11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP, Zurich, Switzerland, 8/1/11.
    Robelin CA, Madanat S. Reliability-based optimization of maintenance and repair for a system of bridges. In Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering. 2011. p. 226-234
    Robelin, C. A. ; Madanat, Samer. / Reliability-based optimization of maintenance and repair for a system of bridges. Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering. 2011. pp. 226-234
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