Development of a structural damage detection equipment using chaos attractor and relaxation particle filter
| Project/Area Number |
26420470
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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 | Kobe Gakuin University |
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Principal Investigator |
SATO TADANOBU 神戸学院大学, 現代社会学部, 研究員 (00027294)
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| Co-Investigator(Kenkyū-buntansha) |
野村 泰稔 立命館大学, 理工学部, 任期制講師 (20372667)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | 地震工学 / 構造ヘルスモニタリング / カオス応答アトラクタ / 緩和型粒子フィルター / 模型実験 / 地震動位相 / フラクタル / 不規則性の同定 / 構造工学 / カオス理論 / アトラクタ / 構造同定 / 緩和型粒子フイルター / 粒子フィルター / 適応・緩和フィルター / 緩和型フィルター / 起振器 |
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| Outline of Final Research Achievements |
The four research purposes are: developing a new technique by which very minor damage to structure can be detected; developing a technique to determine its damage level precisely; comparing the results of reliability analyses using the identified data not only the developed method but also other common methods; developing an innovative method to detect the fractal nature of earthquake motion phase (EMP).
We propose a new attractor-based structural damage detection technique using chaotic excitation; the particle relaxation filter; a new type of stochastic process being able to represent the stochastic characteristics of EMP by the use of Lubesgue-Stieltjes type integral formula. We compared reliability analyses of two degree of freedom system using identified results by PF, and other six methods. We showed that the result obtained by PF is the most reliable. We identified the probability density function of the group delay time of earthquake motions.
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Report
(4 results)
Research Products
(11 results)
