Shuxian Hong , Zhongbo Yuan , Disheng Pan , Chuan Kuang , Biqin Dong , Shengxin Fan
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引用次数: 0
Abstract
The image segmentation results for microcrack detection suffer from poor continuity and integrity due to noise, grayscale inhomogeneity, and the very small size of microcrack voxels. Strain information is introduced to aid crack recognition and reduce the impact of image accuracy on crack detection. A new crack detection method is proposed that combines image processing and digital volume correlation (DVC). This method detects and extracts microcracks with specific propagation directions, distinguishing them from pseudo-cracks. It also enhances the integrity of crack morphology analysis by incorporating both image and mechanical information (DVC) data. Furthermore, analysis of X-ray computed tomography (XCT) images of fractured rubber concrete specimens, along with optical microscope verification, demonstrates that this method is effective for visualizing and quantifying fracture patterns.
期刊介绍：
Cement & concrete composites focuses on advancements in cement-concrete composite technology and the production, use, and performance of cement-based construction materials. It covers a wide range of materials, including fiber-reinforced composites, polymer composites, ferrocement, and those incorporating special aggregates or waste materials. Major themes include microstructure, material properties, testing, durability, mechanics, modeling, design, fabrication, and practical applications. The journal welcomes papers on structural behavior, field studies, repair and maintenance, serviceability, and sustainability. It aims to enhance understanding, provide a platform for unconventional materials, promote low-cost energy-saving materials, and bridge the gap between materials science, engineering, and construction. Special issues on emerging topics are also published to encourage collaboration between materials scientists, engineers, designers, and fabricators.
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