| Project/Area Number |
13650075
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Materials/Mechanics of materials
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
TODOROKI Akira Tokyo Institute of Technology, Mechanical Sciences and Engineering, Associate Professor, 大学院・理工学研究科, 助教授 (50211397)
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| Co-Investigator(Kenkyū-buntansha) |
SHIMAMURA Yoshinobu Tokyo Institute of Technology, Mechanical Sciences and Engineering, Research associate, 大学院・理工学研究科, 助手 (80272673)
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| Project Period (FY) |
2001 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2002: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 2001: ¥2,200,000 (Direct Cost: ¥2,200,000)
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| Keywords | Composites / Delamination / Monitor / Damage |
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| Research Abstract |
Delamination of laminated composites is usually invisible or difficult to detect visually. Delamination causes low reliability for primary structures. Automatic systems for in-service delamination identifications are desired to improve low reliability. The present study employs an electric resistance change method for delamination detection. Since the method adopts reinforcement carbon fiber itself as sensors for delamination detection, this method does not reduce static or fatigue strength ; also, the method is applicable to existing structures. Authors have found that the electric resistance change method with response surfaces is very effective experimentally and analytically. However, a large error of estimation remains for estimation of delamination location. In the present study, a new data processing procedure is proposed to improve performance of estimations of delamination location. The new method is applied to laminated composite beams. A delamination crack of a laminated composite beam is monitored with the new method using FEM analyzes. As a result, the method reveals excellent performance of estimations of delamination location even for new data not used in regression equations.
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