Approaches for damage detection for short and medium span bridges by drive-by inspection and decision making system

2014 Fiscal Year Final Research Report

• Project/Area Number: 24360178
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Structural engineering/Earthquake engineering/Maintenance management engineering
• Research Institution: Kyoto University
• Principal Investigator: KIM Chul-Woo 京都大学, 工学(系)研究科(研究院), 教授 (80379487)
• 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)
• Project Period (FY): 2012-04-01 – 2015-03-31
• 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

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.

Free Research Field

橋梁工学，構造動力学，維持管理