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Structural crack detection using deep convolutional neural networks
Automation in Construction, 2022Convolutional Neural Networks (CNN) have immense potential to solve a broad range of computer vision problems. It has achieved encouraging results in numerous applications of engineering, medical, and other research fields due to the advancement in ...
Raza Ali +4 more
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Automated crack detection and measurement based on digital image correlation
Construction and Building Materials, 2020 The acquisition and evaluation of the crack behaviour in experiments on quasi-brittle materials, such as concrete, mortar, or masonry is essential for understanding their structural behaviour.
Nicola Ǧehri +2 more
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International Journal of Rock Mechanics And Mining Sciences, 2020
A series of rock tests including Brazilian indirect tension test (BITT), three-point bending test (TPBT), modified shear test (MST) and uniaxial compression test (UCT) were conducted to investigate the acoustic emission (AE) characteristics and crack ...
K. Du +3 more
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A series of rock tests including Brazilian indirect tension test (BITT), three-point bending test (TPBT), modified shear test (MST) and uniaxial compression test (UCT) were conducted to investigate the acoustic emission (AE) characteristics and crack ...
K. Du +3 more
semanticscholar +1 more source
, 2021
Seawater sea-sand Engineered Cementitious Composites (SS-ECC) is a new version of ECC for marine constructions facing the scarcity of freshwater and river/manufactured sand.
Bo-Tao Huang +5 more
semanticscholar +1 more source
Seawater sea-sand Engineered Cementitious Composites (SS-ECC) is a new version of ECC for marine constructions facing the scarcity of freshwater and river/manufactured sand.
Bo-Tao Huang +5 more
semanticscholar +1 more source
DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
IEEE Transactions on Image Processing, 2019Cracks are typical line structures that are of interest in many computer-vision applications. In practice, many cracks, e.g., pavement cracks, show poor continuity and low contrast, which bring great challenges to image-based crack detection by using low-
Qin Zou +5 more
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Image-based concrete crack detection in tunnels using deep fully convolutional networks
, 2020Automatic detection and segmentation of concrete cracks in tunnels remains a high-priority task for civil engineers. Image-based crack segmentation is an effective method for crack detection in tunnels.
Yupeng Ren +6 more
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Autonomous concrete crack detection using deep fully convolutional neural network
Automation in Construction, 2019Crack detection is a critical task in monitoring and inspection of civil engineering structures. Image classification and bounding box approaches have been proposed in existing vision-based automated concrete crack detection methods using deep ...
Cao Vu Dung, Le Duc Anh
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Computer vision-based concrete crack detection using U-net fully convolutional networks
Automation in Construction, 2019For the first time, U-Net is adopted to detect the concrete cracks in the present study. Focal loss function is selected as the evaluation function, and the Adam algorithm is applied for optimization.
Zhenqing Liu +3 more
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Crack-crack and crack-pore interactions in stressed granite
International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1979Abstract Scanning electron microscope observations of stress-induced crack growth, causing crack-crack and crack-pore interactions within individual grains of Barre granite, show that photoelastic models of cracks are essentially correct and applicable to rock.
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