| Co-Investigator(Kenkyū-buntansha) |
MATUO Eiji Yamaguchi University, Faculty of Engineering, Research Associate, 工学部, 助手 (10284267)
NAKAMURA Hideki Yamaguchi University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (20207905)
HAMADA Sumio Yamaguchi University, Faculty of Engineering, Professor, 工学部, 教授 (30164908)
SUZUKI Motoyuki Tohoku University Graduate School, Professor, 大学院, 教授 (60124591)
MIYAGAWA Toyoaki Kyoto University Graduate School, Professor, 大学院, 教授 (80093318)
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| Research Abstract |
Recently, due to such factors as the increase in traffic volume, the increase in the weights of vehicles and the structural aging, many highway bridges have seriously deteriorated over the years in many advanced countries. In Japan, one report shows that in about 10 years from now, around 2010, the ratio of the bridges which will reach 50 years of age will be about 35% since many highway bridges have been constructed through the national highway networks' project launched around 1955. Thus, it is essential that those bridges should be repaired or strengthened depending on the seriousness of their deterioration. Despite the problem, since the limited, it is necessary for the funds to be split equally for both maintaining the deteriorated bridges and constructing the new ones. For this reason, the necessity of developing a practical bridge management system has been pointed out in Japan, because the maintenance of existing bridges has become major social concern. The goal of this system
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is to assist the decision-makers and the administration in doing their job.
This study attempted to develop a decision support system for rehabilitation strategies of existing concrete bridges based on life cycle analysis (newly developed Bridge Management System(J-BMS) integrated with the Concrete Bridge Rating Expert System). This proposed system is able to not only evaluate the serviceability of existing bridge members, but also offer some strategies based on a combination of maintenance cost minimization and quality maximization approach. For solving this optimization problem, the Genetic Algorithms were adopted. By applying these algorithms to the optimization problem, the Genetic Algorithms were adopted. By applying these algorithms to the optimization problem, the approximation optimal solution (rehabilitation strategy) could be quickly found. Moreover, applications to some existing concrete bridges were presented so as to demonstrate the suitability of proposed bridge management system. As a result, it was verified that this proposed system is able to estimate the deterioration of bridge members and present various rehabilitation strategies. Less
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