Practical Application of Long-term Bridge Management System Using Genetic Algorithm
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- NAKATSU Koichiro
- Faculty of Informatics, Kansai University
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- FURUTA Hitoshi
- Faculty of Informatics, Kansai University
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- NOMURA Yasutoshi
- Faculty of Science and Engineering, Ritsumeikan University
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- TAKAHASHI Kyosuke
- Graduate School of Informatics, Kansai University
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- ISHIBASHI Ken
- Graduate School of Informatics, Kansai University
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- MIYOSHI Noriaki
- Graduate School of Informatics, Kansai University
Bibliographic Information
- Other Title
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- GAによる実用化を目指した長期的な橋梁維持管理計画策定
- GA ニ ヨル ジツヨウカ オ メザシタ チョウキテキ ナ キョウリョウ イジ カンリ ケイカク サクテイ
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Abstract
Recently, the bridge management is required for keeping the safety of daily life. On the other hand, it is difficult to sustain the management in the future due to the short of engineers and the budget cut. The long term planning for management is attempted to reduce the cost for maintenance and improve the safety. However, this planning has some problems due to uncertainties and the equalization of cost. The uncertainty in the prediction of degradation may cause the change of plan. The purpose of this paper is to develop the decision support system for long term planning. In the long term planning, it is undesirable to increase the maintenance cost due to the change of plan. Therefore, in this paper, an attempt is made to propose the dealing method against uncertainties. The proposed method estimates the flexible term for maintenance year without increasing the cost. In the proposed method, a plan considering the preventive maintenance is searched by Genetic Algorithm (GA). In this step, the obtained plan is expected to be able to change the maintenance year without increasing the cost because the search of GA has the fuzziness in a problem which has various suboptimal solutions. The estimation of the flexible term for the obtained plan is attempted by applying the numerical simulation. Therefore, the plan obtained by the proposed method is expected to improve the safety against uncertainties without increase the cost by following the flexible term. Numerical examples are presented to demonstrate the applicability of the proposed method.
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 23 (4), 469-479, 2011
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205185309824
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- NII Article ID
- 10029335897
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- NII Book ID
- AA1181479X
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- ISSN
- 18817203
- 13477986
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- NDL BIB ID
- 11219991
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed