| Project/Area Number |
11792014
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| Research Category |
Grant-in-Aid for University and Society Collaboration
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| Allocation Type | Single-year Grants |
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| Research Field |
土木材料・力学一般
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| Research Institution | Yamaguchi University |
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Principal Investigator |
MIYAMOTO Ayaho Yamaguchi University Faculty of Engineering, Professor, 工学部, 教授 (10093535)
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| Co-Investigator(Kenkyū-buntansha) |
GOTOU Seisi Yamaguchi University Faculty of Engineering, Professor, 工学部, 教授 (00016817)
NAKAZONO Mahito Yamaguchi University Faculty of Engineering, Professor, 工学部, 教授 (60164208)
HAMADA Sumio Yamaguchi University Faculty of Engineering, Professor, 工学部, 教授 (30164908)
NAKAMURA Hideaki Yamaguchi University Faculty of Engineering, Associate Professor, 工学部, 助教授 (20207905)
TAKAMI Katsuhiko Yamaguchi University Faculty of Engineering, Associate Professor, 工学部, 助教授 (00171546)
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| Project Period (FY) |
1999 – 2001
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| Project Status |
Completed (Fiscal Year 2001)
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| Budget Amount *help |
¥5,300,000 (Direct Cost: ¥5,300,000)
Fiscal Year 2001: ¥5,300,000 (Direct Cost: ¥5,300,000)
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| Keywords | Civil infrastructures / Management System / Optimal maintenance planning / Expert system / Bridge / Life cycle cost / Genetic algorithm (GA) / Repair / Strengthening / 調査・点検 / ラフ集合 / データマイニング / 知識獲得 |
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| Research Abstract |
Civil infrastructures such as bridges, tunnels, dams in our country represent a huge investment on the part of governments and taxpayers. This investment has to be prudently managed for safety, economy, and sustainability. We must maximize the life-cycle benefits of our civil infrastructure systems to serve the needs of our society by balancing the safety, economy, and sustainability requirements. Life-cycle cost analysis and design are important issues for civil infrastructure systems to insure an adequate level of lifetime reliability at the lowest possible life-cycle cost.
This study attempted to develop a decision support system for rehabilitation strategies of existing civil infrastructures based on life cycle analysis. At first, an integrated bridge management system (J-BMS) was newly developed collaborated with all members of the Technical Research Group on Repair, Rehabilitation and Replacement Techniques of Existing Structures (REHATEC), and of the International Association for Bridge Maintenance and Safety (IABMAS) for mainly existing concrete bridges. This proposed system is able to not only evaluate the serviceability of existing structure 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 approximation optimal solution (rehabilitation strategy) could be quickly found. Next, those manners were extended to existing concrete tunnel structures as the other civil infrastructures so as to demonstrate the suitability of proposed bridge management system.
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