2012 Fiscal Year Final Research Report
Detection of Abnormal Regions by Full-Field Non-Contact TemperatureMeasurement and Inverse Analysis with the Aid of the MathematicalAnalysis
| Project/Area Number |
23656086
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Materials/Mechanics of materials
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| Research Institution | Osaka University |
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Principal Investigator |
KUBO Shiro 大阪大学, 大学院・工学研究科, 教授 (20107139)
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| Co-Investigator(Kenkyū-buntansha) |
SAKAGAMI Takahide 神戸大学, 大学院・工学研究科, 教授 (50192589)
IOKA Seiji 大阪電気通信大学, 工学部, 准教授 (50283726)
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| Project Period (FY) |
2011 – 2012
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| Keywords | 非破壊評価 / 構造健全性 / 逆解析 / フルフィールド計測 / 異常部位検出 / 温度 |
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| Research Abstract |
For the assessment of structural integrity, the detection and evaluation of deteriorated or anomalous material properties are very important. If full field measurement of some physical quantity related to the material property is available, it is possible to construct a robust and accurate method for estimating the distribution of material properties.In this investigation, we propose a method for estimating thermal conductivity distribution from two-dimensional full field temperature distribution under certain thermal conditions. Assuming that heat flux is nearly constant in the region of interest, thermal conductivity is estimated from the temperature gradient. Numerical simulations were made of the estimation of thermal conductivity in a square region. The estimated distribution of thermal conductivity agreed reasonably with the actual one, while the estimation deteriorated around a point where thermal conductivity showed abrupt change. The estimation deteriorated due to the fact that the flux was not constant in the region. Streamlines were obtained from the temperature gradient. The width between streamlines was used for modifying the estimated value of thermal conductivity. It was found that a better estimation of the thermal conductivity distribution was made by using the width of streamlines.
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