Study on improvement of defect detection algorithm for non-contact acoustic inspection
| Project/Area Number |
15K06195
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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 | Toin University of Yokohama |
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Principal Investigator |
Kazuko Sugimoto 桐蔭横浜大学, 工学(系)研究科(研究院), 研究員(移行) (60642171)
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| Co-Investigator(Kenkyū-buntansha) |
杉本 恒美 桐蔭横浜大学, 工学(系)研究科(研究院), 教授(移行) (80257427)
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| Research Collaborator |
UTAGAWA NORIYUKI 佐藤工業㈱, 技術研究所
KURODA CHITOSE 佐藤工業㈱, 技術研究所
UECHI ITSUKI 桐蔭横浜大学, 大学院工学研究科, 研究員
KOSUGE NOBUAKI 桐蔭横浜大学, 大学院工学研究科, 大学院生
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 非接触非破壊検査法 / コンクリート内部欠陥検出 / 振動エネルギー比 / スペクトルエントロピー / 欠陥検出アルゴリズム / コンクリート健全部評価 / LRAD / レーザドップラ振動計 / 非接触音響探査 / コンクリート内部欠陥 / 長距離音響放射装置 / たわみ振動 / 非接触音響探査法 / psv400 |
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| Outline of Final Research Achievements |
In order to detect an internal defect (a crack, a peeling, a cavity) of concrete structures, noncontact non-destructive inspection method from a long distance was studied. Using airborne sound waves and a laser Doppler vibrometer, internal defects up to 10 cm deep from the concrete surface can be measured from a distance of 30 m at present. In this research, we proposed a defect detection algorithm using acoustic features such as vibration energy ratio and spectral entropy. It was verified with a concrete wall specimen containing several circular cavity or peeling defects, and good results were obtained. Furthermore, in order to cope with actual concrete structures, the statistical evaluation of a healthy part of concrete was carried out by healthy-part extraction algorithm using two acoustic feature quantities. Then, the effect to detect internal defects was increased.
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Report
(4 results)
Research Products
(32 results)
