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Crack Property Identification on Concrete Construction Surface Using an Automatic Image-Based Measurement

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The safety of concrete construction is evaluated manually by inspecting visible damage in structural elements. However, this process is time consuming and costly. To automate this assessment, a non-destructive photogrammetric has been widely used for damage identification in civil engineering. One of the most common damage types is concrete surface crack. Therefore, this study proposes a novel image-based measurement of crack properties in concrete construction. The method first retrieves the crack skeleton and profile from the crack map generated by pre-processing the original image. Then, the crack skeleton is abstracted into a tree structure, and small edges from the crack trunk are removed to calculate the length of the crack. Finally, Euclidian distance transform is applied on the crack profile to calculate the width of the crack. The proposed method can identify crack properties automatically and enhance stability, durability, and safety evaluation of the concrete construction. Validity and accuracy are tested by experiments on crack images of real concrete construction.

Keywords: Concrete Construction; Crack Property; Image-Based Measurement; Non-Destructive Measurement; Safety Evaluation

Document Type: Research Article

Affiliations: 1: College of Information System and Management, National University of Defense Technology, Changsha, Hunan, 410072, P. R. China 2: College of Commander Basic Education, National University of Defense Technology, Changsha, Hunan, 410072, P. R. China

Publication date: 01 May 2016

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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