Construction of performance degradation model and development of performance estimation system for stock management of irrigation tank
Project/Area Number |
21380146
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Irrigation, drainage and rural engineering/Rural planning
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Research Institution | Ehime University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
NISHIYAMA Tatsuro 愛媛大学, 農学部, 准教授 (30294440)
YOSHITAKE Yoshitaka 愛媛大学, 農学部, 教授 (20033326)
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Project Period (FY) |
2009 – 2011
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Project Status |
Completed (Fiscal Year 2011)
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Budget Amount *help |
¥14,170,000 (Direct Cost: ¥10,900,000、Indirect Cost: ¥3,270,000)
Fiscal Year 2011: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2010: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2009: ¥8,060,000 (Direct Cost: ¥6,200,000、Indirect Cost: ¥1,860,000)
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Keywords | 溜池 / ストマックマネジメント / 性能劣化 / 非破壊検査 / ストックマネジメント / 非破壊探査 |
Research Abstract |
This research aimed to establish the method of functional diagnosis and to develop the performance estimation system for stock management of irrigation tanks. The field investigations by two types of the geophysical exploration methods, that is, the electrical resistivity method and the surface wave method, are carried out in three overage irrigation tanks. The spatial distributions of the electric resistivity and the S-wave velocity are individually obtained by the two methods, and the self-organizing map(SOM) is employed to combine the two results organically. SOM is a type of artificial neural network that is trained using unsupervised learning to produce a two dimensional discretized representation called a map. This makes SOM useful for visualizing low-dimensional views of high dimensional data. The soil types are classified automatically and objectively with the S-wave velocity, the electric resistivity and the change ratio of electric resistivity measured in full water level and low water level adopted as the input vectors. This procedure also enables us to estimate the grouting area. A computational method, incorporating the finite element model into identification using the Monte Carlo filter, is suggested in order to estimate deteriorated area within embankment of irrigation tank based on measured data on the settlement.
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Report
(4 results)
Research Products
(42 results)
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[Journal Article] Water quality characterization and index optimization2012
Author(s)
Lapong, E., Fujihara, M., Izumi, T., Hamagami, K., Kobayashi, N. and Kakihara, T.
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Journal Title
Journal of Rainwater Catchment Systems
Volume: (掲載決定)
Related Report
Peer Reviewed
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[Journal Article] Optimum design of triangular/rectangular soil blanket under given design seepage discharge2011
Author(s)
Fujihara, M., Kobayashi, N., Nishiyama, T., Izumi, T., Yoshitake, Y.
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Journal Title
Irrigation, Drainage and Rural Engineering Journal
Volume: 276(79-6)
Pages: 25-30
NAID
Related Report
Peer Reviewed
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[Journal Article] Optimum design of triangular/rectangular soil blanket under given volume of blanket material2011
Author(s)
Kobayashi, N., Fujihara, M., Nishiyama, T., Izumi, T., Yoshitake, Y.
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Journal Title
Irrigation, Drainage and Rural Engineering Journal
Volume: 276(79-6)
Pages: 31-36
NAID
Related Report
Peer Reviewed
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[Presentation] River Suspended Sediment Load Transport Analysis with Data Stratification2010
Author(s)
Lapong, E., Fujihara, M., Izumi, T., Hamagami, K., Kakihara, T. and Kobayashi, N.
Organizer
平成22年度応用水理研究部会講演集
Place of Presentation
川崎市
Year and Date
2010-12-11
Related Report
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