Minimization of Life Cycle Cost for Bridge Asset Management with Multi Stage Optimization
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Bibliographic Details
Author(s): |
Hitoshi Furuta
(Kansai University, Osaka, JPN)
Yasutoshi Nomura (Ritsumeikan University, Shiga, JPN) Koichiro Nakatsu (Jonan Women’s Junior College, Osaka, JPN) Ken Ishibashi (Kansai University, Osaka, JPN) Yoshiaki Kagawa (Kansai University, Osaka, JPN) |
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Medium: | conference paper | ||||
Language(s): | English | ||||
Conference: | IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015 | ||||
Published in: | IABSE Conference Geneva 2015 | ||||
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Page(s): | 937-944 | ||||
Total no. of pages: | 8 | ||||
Year: | 2015 | ||||
DOI: | 10.2749/222137815818358141 | ||||
Abstract: |
The purpose of this study is to minimize life cycle cost (LCC) for bridge asset management. This study attempts to develop an optimization method for bridge maintenance planning. It is realistically difficult to keep the safety level of all bridges within a limited budget. Furthermore, a local government needs to manage a large number of bridges. These cause the difficulty of optimization such as the increase of the number of bridges and strict constraint conditions. However, an optimization of maintenance plan for multiple bridges is significant to decrease an annual total cost. Hence, this paper proposes a new method to formulate a maintenance plan, which has the flexibility against uncertainties that involve the change of schedule, by multi-stage optimization that consider an appropriate budget allocation based on each bridge’s importance. Several numerical examples are presented to demonstrate the effectiveness for the planning of LCC minimized maintenance. |
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Keywords: |
life-cycle cost genetic algorithm bridge maintenance planning multi-stage optimization
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