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Thermal Detection of Subsurface Delaminations in Reinforced Concrete Bridge Decks Using Unmanned Aerial Vehicle

机译:无人机在钢筋混凝土桥梁甲板中进行地下分层热检测

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Bridge deck condition assessment is commonly conducted through visual inspection by bridge inspectors. Considering the colossal backlog of aging bridge structures, there is a need to develop cost-effective and innovative solutions to evaluate bridge deck conditions on regular time intervals, without interrupting traffic. This makes remote sensing technologies viable options in the field of bridge inspection. This paper explores the potential for applying infrared thermography (IRT) using unmanned aerial vehicle (UAV) to detect and quantify subsurface delaminations in concrete bridge decks. The UAV-borne thermal sensing system focuses on acquiring thermal imagery using a UAV and extracting information from the image data. Two in-service concrete bridge decks were inspected using a high resolution thermal camera mounted on a UAV. The captured images were then enhanced and stitched together using a tailored procedure to produce a mosaic view of the entire bridge deck, indicating the size and geometry of the detected delaminated areas. The results were validated by conducting hammer sounding and half-cell potential testing on the same bridge decks. The findings reveal the capability of the technology to provide measurements comparable to those derived from traditional hands-on inspection methods. Thus, it can be an excellent aid in efficient bridge maintenance and repair decision-making.
机译:桥面状况评估通常是由桥梁检查员通过目视检查进行的。考虑到老化的桥梁结构的巨大积压,有必要开发具有成本效益的创新解决方案,以定期地评估桥梁甲板状况,而不会中断交通。这使得遥感技术成为桥梁检查领域中可行的选择。本文探讨了使用无人飞行器(UAV)进行红外热成像(IRT)来检测和量化混凝土桥面的地下分层的潜力。无人机载热感测系统专注于使用无人机获取热图像并从图像数据中提取信息。使用安装在无人机上的高分辨率热像仪检查了两个在役的混凝土桥面板。然后将捕获的图像增强,并使用量身定制的程序将其缝合在一起,以产生整个桥面的马赛克视图,从而指示检测到的分层区域的大小和几何形状。通过在同一桥面板上进行锤击和半电池电位测试来验证结果。研究结果揭示了该技术提供的测量能力可与传统动手检查方法得出的结果相媲美。因此,它可以有效地进行桥梁维护和维修决策。

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