Clarification of the relation between degradation level and natural frequency and construction of performance degradation prediction model for irrigation tank
| Project/Area Number |
24580355
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Irrigation, drainage and rural engineering/Rural planning
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| Research Institution | Ehime University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
NISHIYAMA Tatsuro 愛媛大学, 農学部, 准教授 (30294440)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2014: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
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| Keywords | ため池 / 常時微動 / 性能劣化予測モデル |
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| Outline of Final Research Achievements |
This research aimed to quantitate degradation level of irrigation tank, to clarify relations between the degradation level and seismic characteristics, and to establish performance degradation prediction model. The three types of the geophysical exploration methods, that is, electrical resistivity survey, surface-wave method and microtremor measurements, are carried out for three irrigation tanks, and model experiment is performed in order to clarify relation between ground water level (G.W.L.) and natural frequency. The natural frequency correlates with fluctuation of the strength and the effective stress associated with change of G.W.L. When the degradation level is defined as reduction rate of the strength and effective stress, it is suggested that the degradation level can be estimated only by microtremor measurements. Moreover, the prediction of the performance degradation is tried by identifying stiffness and damping ratio using the Monte Carlo filter.
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Report
(4 results)
Research Products
(17 results)
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[Journal Article] Estimation of the Coefficient of Volume Compressibility of Soils Using Artificial Neural Network with Batch Learning Algorithm2015
Author(s)
Kobayashi, N., Kimata, T., Ishii, M., Nishiyama, T., Tsukada, Y. and Izumi, T.
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Journal Title
Journal of Rainwater Catchment Systems
Volume: 20
Pages: 23-28
NAID
Related Report
Peer Reviewed
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[Journal Article] Water Quality Characterization and Index Optimization - The Case of Agricultural Rivers in Southern Ehime, Japan -2012
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: Vol.18：No.1
Pages: 1-8
NAID
Related Report
Peer Reviewed
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[Journal Article] Suspended sediment estimation and analysis in river basins with rice paddy fields2012
Author(s)
Lapong, E., Fujihara, M., Izumi, T., Hamagami, K., Kakihara, T. and Kobayashi, N.
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Journal Title
Journal of Water Science and Technology
Volume: Vol.66：No.5
Pages: 918-926
Related Report
Peer Reviewed
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[Journal Article] ：Suspended load estimation in agricultural rivers using regression analyses with data stratification2012
Author(s)
Lapong, E., Fujihara, M., Izumi, T., Hamagami, K., Kobayashi, N. and Kakihara, T.
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Journal Title
Journal of Water and Environment Technology
Volume: Vol.10：No.4
Pages: 387-398
Related Report
Peer Reviewed
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