2018 Fiscal Year Final Research Report
A technique for identifying modal parameters and damage of building members and frames from microtremor data based on substructure method
| Project/Area Number |
16K06587
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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 |
Building structures/Materials
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| Research Institution | Tokyo University of Science |
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Principal Investigator |
Satoshi KURITA 東京理科大学, 工学部建築学科, 教授 (90195553)
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| Co-Investigator(Kenkyū-buntansha) |
金 南昔 東京理科大学, 工学部建築学科, 助教 (80756966)
源栄 正人 東北大学, 災害科学国際研究所, 名誉教授 (90281708)
三辻 和弥 山形大学, 工学部, 教授 (90292250)
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Keywords | 構造ヘルスモニタリング / モード同定 / 微動測定 / スウェイ率・ロキング率 / 軸変形 / 移動測定 / FEM解析 |
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| Outline of Final Research Achievements |
Using sensors that can measure the very small vibrations of buildings that are not felt by humans, we carefully measure each part of the building with a limited number of sensors, and we studied data analysis methods and indicators for detecting damaged parts by earthquakes. As a result, we proposed a method of performing data analysis in a short time by efficiently analyzing a large amount of measurement data. We also found new indicators for building frame damage and beam damage to detect damage.
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| Free Research Field |
耐震工学
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| Academic Significance and Societal Importance of the Research Achievements |
地震から人間を守る建物で構造上重要な柱、大梁、耐力壁などは仕上げ材などで隠されているため、損傷がひどくない場合には地震による損傷を目視でみつけることが出来ない。本研究の成果はこのような損傷を検出する方法の開発に役立ち、しかも効率的で、検出コストを低くするものと考えている。
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