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Development of non-destructive method of detecting steel bars corrosion in bridge decks

机译:桥梁桥面钢筋腐蚀的无损检测方法的发展

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摘要

One of the most common defects in reinforced concrete bridge decks is corrosion of steel reinforcing bars. This invisible defect reduces the deck stiffness and affects the bridge's serviceability. Regular monitoring of the bridge is required to detect and control this type of damage and in turn, minimize repair costs. Because the corrosion is hidden within the deck, this type of damage cannot be easily detected by visual inspection and therefore, an alternative damage detection technique is required. This research develops a non-destructive method for detecting reinforcing bar corrosion. Experimental modal analysis, as a non-destructive testing technique, and finite element (FE) model updating are used in this method. The location and size of corrosion in the reinforcing bars is predicted by creating a finite element model of bridge deck and updating the model characteristics to match the experimental results. The practicality and applicability of the proposed method were evaluated by applying the new technique to a two spans bridge for monitoring steel bar corrosion. It was shown that the proposed method can predict the location and size of reinforcing bars corrosion with reasonable accuracy.
机译:钢筋混凝土桥面板中最常见的缺陷之一是钢筋的腐蚀。这种看不见的缺陷会降低桥面刚度并影响桥梁的使用寿命。需要定期监控桥梁以检测和控制此类损坏,从而将维修成本降至最低。由于腐蚀隐藏在甲板内,因此无法通过目视检查容易地检测到这种类型的损坏,因此,需要一种替代的损坏检测技术。这项研究开发了一种无损检测钢筋腐蚀的方法。该方法使用了实验模态分析作为一种无损检测技术,并且使用了有限元(FE)模型更新。通过创建桥面板的有限元模型并更新模型特征以匹配实验结果,可以预测钢筋中腐蚀的位置和大小。通过将新技术应用于监测钢筋锈蚀的两跨桥梁,评估了该方法的实用性和适用性。结果表明,所提方法能够以合理的精度预测钢筋腐蚀的位置和大小。

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