Approaches for damage detection for short and medium span bridges by drive-by inspection and decision making system
| Project/Area Number |
24360178
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial 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 | Kyoto University |
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Principal Investigator |
KIM Chul-Woo 京都大学, 工学(系)研究科(研究院), 教授 (80379487)
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| Co-Investigator(Kenkyū-buntansha) |
KAWATANI Mitsuo 神戸大学, 大学院工学研究科, 教授 (00029357)
YOSHIDA Ikumasa 東京都市大学, 工学部 (60409373)
OSHIMA Yoshinobu 京都大学, 大学院工学研究科, 准教授 (10362451)
MCGETRICK Patrick 京都大学, 大学院工学研究科, 助教 (70635648)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2014: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2013: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2012: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
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| Keywords | 中小スパン橋梁 / 橋梁点検 / 橋梁維持管理 / 移動点検 / 異常検知 / 意思決定 / 振動モニタリング / 橋梁損傷実験 / 維持管理 / 多変量統計分析 / 損傷実験 / 実橋梁損傷実験 / 統計的パターン分析 / ウェーブレット係数 / 交通振動 / 統計的抽出 / 多次元自己回帰モデル / 実験 |
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| Outline of Final Research Achievements |
Feasibility of a wavelet-based drive-by bridge inspection is investigated through a scaled laboratory moving vehicle experiment. Overall, this investigation has illustrated the potential of this low-cost approach and highlighted conditions within which it can detect and/or locate bridge damage with reasonable accuracy.
The practicability of a damage detection technique utilizing the statistical patterns of modal parameters to a real simply-supported steel truss bridge, which was consecutively subjected to damage. Mahalanobis-distance (MD) was adopted as a damage-sensitive feature. The existence and severity of the damage is judged qualitatively by visual inspection of the MD plots. As for the quantification study on the damage presence and severity is still under investigation, including but not limited to the threshold value of damage warning and the severity quantification. Moreover an approach utilizing a Bayes factor as a damage-sensitive feature was successfully developed.
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Report
(4 results)
Research Products
(48 results)
