| Project/Area Number |
14350304
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Building structures/materials
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| Research Institution | KYUSHU UNIVERSITY |
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Principal Investigator |
KAWASE Hiroshi Kyushu University, Faculty of Human-Environment Studies, Professor, 大学院・人間環境学研究院, 教授 (30311856)
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| Co-Investigator(Kenkyū-buntansha) |
NAKAI Shoichi Chiba University, Department of Engineering, Professor, 工学部, 教授 (90292664)
FUKUWA Nobuo Nagoya University, Graduate School of Environment Studies, Professor, 大学院・環境学研究科, 教授 (20238520)
SATO Toshiaki Ohsaki Research Institute, Earthquake Disaster Prevention Group, Chief researcher, 地震防災グループ, 主席研究員 (80393560)
SATOH Toshimi Ohsaki Research Institute, Earthquake Disaster Prevention Group, Senior researcher, 地震防災グループ, 主任研究員 (00393562)
IWATA Tomotaka Kyoto University, Disaster Prevention Research Institute, Professor, 防災研究所, 教授 (80211762)
清家 規 九州大学, 大学院・人間環境学研究院, 助教授 (90243914)
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| Project Period (FY) |
2002 – 2004
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| Project Status |
Completed (Fiscal Year 2004)
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| Budget Amount *help |
¥17,000,000 (Direct Cost: ¥17,000,000)
Fiscal Year 2004: ¥2,700,000 (Direct Cost: ¥2,700,000)
Fiscal Year 2003: ¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2002: ¥10,800,000 (Direct Cost: ¥10,800,000)
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| Keywords | Strong motion prediction / Subduction-zone earthquake / Site effects / Response analysis / Asperity / Disaster prediction / 強振動予測 |
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| Research Abstract |
In this research, in order to develop a quantitative damage prediction technique for a great subduction-zone earthquake and to verify its validity, the following three investigations were performed :
1)Analysis of a source process and the development of the strong motion prediction technique,
2)Extraction of site characteristics and the construction of underground structures, and
3)Model creation for quantitative damage prediction.
For task no.1, the strong motion generation areas were determined for seven interplate earthquakes in Off-Tokachi and Off-Kushiro regions. Then the empirical Green's function method was used to evaluate strong motions during the next Tonankai earthquake and the validity of the method was discussed. For statistical approach, the spectrum separation technique and the time-variation characteristic modeling technique are applied to strong motion data obtained by national networks such as K-NET for a broadband period range up to 10 seconds. We used them for a large s
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ubduction-zone earthquake.
For task no.2 by using collected information on geographical feature classification for Chiba City three-dimensional surface soil structure model was built, and the validity of the model was shown. As for the fundamental characteristics of strong motions in Nobi Plain, various analyses were performed on observed strong motion records. For more precise determination of an underground structure, an improved receiver function method was proposed.
For task no.3 the technique how to construct a structure model based on its response characteristics obtained from microtremor or aftershock records was proposed, and its verification was carried out by comparing it with past experience. Finally strong motion and damage prediction was performed for the Nankai earthquake by using prediction technique for strong motions and for structural damage. As a result, although heavy damage will be generated by strong motions reaching seismic intensity of 7 in the source region, the predicted damage in the population concentrated areas does not seem so large as we had been afraid of. Less
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