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Minimization of Life Cycle Cost for Bridge Asset Management with Multi Stage Optimization

 Minimization of Life Cycle Cost for Bridge Asset Management with Multi Stage Optimization
Author(s): , , , ,
Presented at IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015, published in , pp. 937-944
DOI: 10.2749/222137815818358141
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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 realisticall...
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Bibliographic Details

Author(s): (Kansai University, Osaka, JPN)
(Ritsumeikan University, Shiga, JPN)
(Jonan Women’s Junior College, Osaka, JPN)
(Kansai University, Osaka, JPN)
(Kansai University, Osaka, JPN)
Medium: conference paper
Language(s): English
Conference: IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015
Published in:
Page(s): 937-944 Total no. of pages: 8
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.

Keywords:
life-cycle cost genetic algorithm bridge maintenance planning multi-stage optimization