A Novel Technique for Displacement Measurements in RC Beams using Digital Image Correlation

F. Ghrib, Amr El Ragaby, B. Boufama, Li Li, Sara Memar
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引用次数: 4

Abstract

Recently, several infrastructure failures have highlighted the importance of structural inspection and increase awareness of the need for efficient structural health monitoring and damage detection techniques. The development of non-contact monitoring technique that is efficient and requires little preparation to implement would greatly benefit the civil engineering and construction community. Close range photogrammetry is a noncontact measurement technique that can be used to monitor a specimen’s deformation as it undergoes loading. This research investigates utilising an image matching algorithm to measure the deflection profile of concrete beams. The present paper illustrates the efficiency of the image matching algorithm (digital image correlation) in measuring the full deflection profile along a concrete beam. Five reinforced concrete beams, 2400 mm (94.48 in.) long, 250 mm (10 in.) deep and 150 mm (6 in.) wide were tested under 4-point bending. Three different surface treatment configurations for the test specimen’s side faces as well as two types of longitudinal flexural reinforcement, steel and carbon fiber reinforced polymer (CFRP), were used. Two Linear Variable Differential Transformers (LVDTs) were used to measure the deflection to validate the proposed digital image correlation algorithm. It was concluded that the image matching algorithm can be used efficiently to measure deflection profile of a flexural member. Despite all existing health monitoring techniques, image matching has the potential to reconstruct the deflection profile along the whole member length to evaluate its current structural behaviour.
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基于数字图像相关的钢筋混凝土梁位移测量新技术
最近,一些基础设施故障突出了结构检查的重要性,并提高了对有效结构健康监测和损伤检测技术的需求的认识。非接触式监测技术的发展,效率高,需要很少的准备,将大大有利于土木工程界和建筑界。近距离摄影测量是一种非接触测量技术,可用于监测试样在承受载荷时的变形。本研究探讨了利用图像匹配算法来测量混凝土梁的挠度轮廓。本文说明了图像匹配算法(数字图像相关)在测量混凝土梁的全挠度剖面中的效率。5根钢筋混凝土梁,长2400毫米(94.48英寸),深250毫米(10英寸),宽150毫米(6英寸),在4点弯曲下进行了测试。试件侧面采用了三种不同的表面处理方式,以及两种纵向抗弯增强材料:钢和碳纤维增强聚合物(CFRP)。利用两个线性可变差动变压器(lvdt)测量挠度来验证所提出的数字图像相关算法。结果表明,该图像匹配算法可以有效地测量受弯构件的挠度轮廓。尽管现有的所有健康监测技术,图像匹配有可能重建沿整个构件长度的挠度轮廓,以评估其当前的结构行为。
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