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Development of an inspection system for cracks in a concrete tunnel lining

机译:开发混凝土隧道衬砌裂缝检查系统

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Over the last several decades, many concrete tunnels have been constructed for roads, highways, and railways. For safety in concrete tunnels, periodic inspections have been conducted using nondestructive testing technologies and techniques. However, nondestructive tests cannot replace visual inspection because of their slow and complicated procedures. For this reason, their use has been limited to precision inspections. Visual methods of assessment also require significant time commitments, and they produce subjective results regarding measured crack data. This study proposes an inspection system for the rapid measurement of cracks in tunnel linings and provides an objective method for assessing crack data for safety purposes. The system consists of both image data acquisition and analysis systems. The acquisition system takes images with charge-coupled device (CCD) line-scan cameras. The analysis system extracts crack information from the acquired images using image processing. Measured crack information includes the thickness, length, and orientation of cracks. To improve the accuracy of crack recognition, the geometric properties and patterns of cracks in concrete structures should be applied to image processing. This proposed system was verified through a series of experiments in both laboratory and field environments.
机译:在过去的几十年中,已经为公路,高速公路和铁路建造了许多混凝土隧道。为了确保混凝土隧道的安全,已使用无损检测技术进行了定期检查。但是,非破坏性测试由于其过程缓慢且复杂而无法替代目测。因此,它们的使用仅限于精密检查。视觉评估方法还需要花费大量时间,并且它们会产生有关测量的裂缝数据的主观结果。这项研究提出了一种用于快速测量隧道衬砌裂缝的检查系统,并为评估出于安全目的的裂缝数据提供了一种客观的方法。该系统包括图像数据采集和分析系统。采集系统使用电荷耦合器件(CCD)线扫描相机拍摄图像。分析系统使用图像处理从获取的图像中提取裂缝信息。测得的裂纹信息包括裂纹的厚度,长度和方向。为了提高裂缝识别的准确性,应将混凝土结构中裂缝的几何特性和图案应用于图像处理。通过在实验室和现场环境中进行的一系列实验验证了该提议的系统。

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