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Reliability-based performance simulation for optimized pavement maintenance

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  • Chou, Jui-Sheng
  • Le, Thanh-Son

Abstract

Roadway pavement maintenance is essential for driver safety and highway infrastructure efficiency. However, regular preventive maintenance and rehabilitation (M&R) activities are extremely costly. Unfortunately, the funds available for the M&R of highway pavement are often given lower priority compared to other national development policies, therefore, available funds must be allocated wisely. Maintenance strategies are typically implemented by optimizing only the cost whilst the reliability of facility performance is neglected. This study proposes a novel algorithm using multi-objective particle swarm optimization (MOPSO) technique to evaluate the cost-reliability tradeoff in a flexible maintenance strategy based on non-dominant solutions. Moreover, a probabilistic model for regression parameters is employed to assess reliability-based performance. A numerical example of a highway pavement project is illustrated to demonstrate the efficacy of the proposed MOPSO algorithms. The analytical results show that the proposed approach can help decision makers to optimize roadway maintenance plans.

Suggested Citation

  • Chou, Jui-Sheng & Le, Thanh-Son, 2011. "Reliability-based performance simulation for optimized pavement maintenance," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1402-1410.
    • Handle: RePEc:eee:reensy:v:96:y:2011:i:10:p:1402-1410
    DOI: 10.1016/j.ress.2011.05.005
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    References listed on IDEAS

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    1. Okasha, Nader M. & Frangopol, Dan M., 2010. "Redundancy of structural systems with and without maintenance: An approach based on lifetime functions," Reliability Engineering and System Safety, Elsevier, vol. 95(5), pages 520-533.
    2. Lapa, Celso Marcelo F. & Pereira, Cláudio Márcio N.A. & de Barros, Márcio Paes, 2006. "A model for preventive maintenance planning by genetic algorithms based in cost and reliability," Reliability Engineering and System Safety, Elsevier, vol. 91(2), pages 233-240.
    3. Yang, Seung-Ie & Frangopol, Dan M. & Kawakami, Yoriko & Neves, Luís C., 2006. "The use of lifetime functions in the optimization of interventions on existing bridges considering maintenance and failure costs," Reliability Engineering and System Safety, Elsevier, vol. 91(6), pages 698-705.
    4. Galante, Giacomo & Passannanti, Gianfranco, 2009. "An exact algorithm for preventive maintenance planning of series–parallel systems," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1517-1525.
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    Cited by:

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    2. Fang, Jianguang & Gao, Yunkai & Sun, Guangyong & Xu, Chengmin & Li, Qing, 2015. "Multiobjective robust design optimization of fatigue life for a truck cab," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 1-8.

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