| Project/Area Number |
24560595
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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 |
Structural engineering/Earthquake engineering/Maintenance management engineering
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| Research Institution | Tobishima Research Institute of Technology |
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Principal Investigator |
IKEDA Takaaki 飛島建設株式会社技術研究所, その他部局等, 部長 (40443650)
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| Co-Investigator(Kenkyū-buntansha) |
KONNO Katsuaki 芝浦工業大学, 工学部, 教授 (40276457)
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| Co-Investigator(Renkei-kenkyūsha) |
KIYOTA Takashi 東京大学, 生産技術研究所, 准教授 (70431814)
TAKASE Yuya 飛島建設株式会社, 技術研究所, 副主任研究員 (30515911)
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| Research Collaborator |
NISHIMOTO Satoshi 土木研究所, 寒地土木研究所, グループ長 (40373211)
KONAGAI Kazuo 東京大学, 生産技術研究所, 教授 (50126471)
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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 |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 地震動 / 応答スペクトル / 表層地盤 / 非線形特性 / 地域防災 / AVS30 / 増幅特性 / 断層ﾓﾃﾞﾙ / 地震規模 / 断層モデル / アレー観測 / 液状化 |
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| Outline of Final Research Achievements |
Strong ground motion prediction methods using fault models such as the empirical and stochastic Green's function methods overestimate short-period ranges at sites on soft soils because it cannot consider a nonlinearity of the soil. The principal investigators proposed a detailed method that combined the empirical Green’s function method and dynamic response analysis considering soil nonlinearity but had difficulties in the case where there were numerous study sites because detailed data was required on soil characteristics. Then, the authors focus on the prediction of response spectrum, propose a simple method for estimating response spectrum considering the nonlinearity of soil using the natural period at the study site and verify the effectiveness of the method using observation records.
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