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Titlei‰p•ถj MULTIOBJECTIVE OPTIMIZATION MANAGEMENT OF STEEL BRIDGES INCORPORATING THEIR COATING SYSTEMS

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Chunlu Liu

Nagoya University

Department of Civil Engineering

ง464-8603

Furo-cho, Chiku-sa ku, Nagoya

liu@cirse.nagoya-u.ac.jp

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Yoshito Itoh

Nagoya University

Center for Integrated Research in Science and Engineering

ง464-8603

Furo-cho, Chiku-sa ku, Nagoya

itoh@cirse.nagoya-u.ac.jp

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<Abstract> Due to the large stock of steel bridges, the painting cost of their coating systems takes a high portion of the annual maintenance budget. The painting cost for maintaining a steel bridge is higher than the cost for the structural repair, the pavement maintenance, and other performance considering the whole lifecycle of bridges. Furthermore, the condition of the coating system has a great effect on the condition of the structural component under it in addition to the aesthetic perception of bridges. Therefore, it challenges the bridge engineers to search an economic and efficient painting planning for determining the appropriate optimal time to apply a coating maintenance method for each steel bridge. This research proposes a multiobjective optimization strategy to deal with the tradeoff between the painting cost and the structural safety for the steel bridge superstructure using a modified genetic algorithm. A numerical example is illustrated for steel bridges located in Nagoya City.

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<Keywords> Coating System, Genetic Algorithm, Hybrid Optimization, Maintenance Management, Multiobjective Optimization

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