| Project/Area Number |
25246043
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Computational science
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| Research Institution | Tohoku University |
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Principal Investigator |
Terada Kenjiro 東北大学, 災害科学国際研究所, 教授 (40282678)
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| Co-Investigator(Kenkyū-buntansha) |
KASHIYAMA KAZUO 中央大学, 理工学部, 教授 (10194721)
ASAI MITSUTERU 九州大学, 工学研究科(研究院), 准教授 (90411230)
KURUMATANI MAO 茨城大学, 工学部, 准教授 (20552392)
MORIGUCHI SHUJI 東北大学, 災害科学国際研究所, 准教授 (20447527)
KATO JUNJI 東北大学, 工学研究科(研究院), 准教授 (00594087)
TAKASE SHINSUKE 東北大学, 工学研究科(研究院), 助教 (00748808)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥32,500,000 (Direct Cost: ¥25,000,000、Indirect Cost: ¥7,500,000)
Fiscal Year 2015: ¥8,450,000 (Direct Cost: ¥6,500,000、Indirect Cost: ¥1,950,000)
Fiscal Year 2014: ¥15,600,000 (Direct Cost: ¥12,000,000、Indirect Cost: ¥3,600,000)
Fiscal Year 2013: ¥8,450,000 (Direct Cost: ¥6,500,000、Indirect Cost: ¥1,950,000)
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| Keywords | 津波 / 破壊 / マルチスケール / 流体・構造連成 / 防災・減災 / 構造・流体連成 |
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| Outline of Final Research Achievements |
Unexplained mechanisms of interaction between fluids and solids often causes unpredictable and extensive damages into human lives as well as structures. In this study, focusing our attention to tide-protection forests against tsunami energies, we propose a method of multiscale numerical experiments for evaluating their disaster-reduction characteristics. For that purpose, we introduced a hierarchical way, a tide-protection forest is stratified into three spatial scales; branch-scale, tree-scale and forest-scale. A tide-protection forest is assumed to be porous media and we identify its porous term as reduction characteristics. Several cases of lower-scale analyses are carried out with different initial and boundary conditions to construct a response surface of the overall resistances at the upper-scale. Thus, with this information about the porous medium's characteristics, a whole costal region can be a analysis target to make a risk assessment for structures behind the forest.
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