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Evaluation of Aggregate Distribution Homogeneity for Asphalt Pavement Based on the Fractal Characteristic of Three-Dimensional Texture
To effectively evaluate the homogeneity of aggregate distribution for asphalt pavement, the self-developed texture imaging device was used to collect the texture image of asphalt pavement. The texture structure of pavement surface was reconstructed by 3D image reconstruction technique. The fractal characteristics of three-dimensional texture of asphalt pavement were discussed based on digital image processing (DIP) technology. The evaluation index of texture uniformity (TU) for aggregate distribution homogeneity of asphalt pavement was proposed. Meanwhile, the asphalt mixture with standard segregation degrees was simulated in the laboratory, and the evaluation criteria for aggregate distribution homogeneity of asphalt pavement based on TU value was established. The results show that the three-dimensional texture model reconstructed based on the grayscale image restores the surface morphology of asphalt pavement with high precision in texture characteristics. The fractal dimension calculated from the three-dimensional texture model of asphalt pavement shows a decreasing trend as the segregation degree of coarse aggregate increases. There is a good linear correlation between the multifractal spectral width Δα of texture morphology of asphalt pavement with different segregation degrees and texture depth. The larger the value of Δα, the more heterogeneous the aggregate distribution on asphalt pavement is. Based on the fractal dimension and multifractal spectral width, a novel evaluation index of homogeneity for three-dimensional texture structure can effectively evaluate the homogeneity of construction quality for asphalt pavement. The research results will provide corresponding reference for non-destructive detection of construction homogeneity for asphalt pavement.
Evaluation of Aggregate Distribution Homogeneity for Asphalt Pavement Based on the Fractal Characteristic of Three-Dimensional Texture
To effectively evaluate the homogeneity of aggregate distribution for asphalt pavement, the self-developed texture imaging device was used to collect the texture image of asphalt pavement. The texture structure of pavement surface was reconstructed by 3D image reconstruction technique. The fractal characteristics of three-dimensional texture of asphalt pavement were discussed based on digital image processing (DIP) technology. The evaluation index of texture uniformity (TU) for aggregate distribution homogeneity of asphalt pavement was proposed. Meanwhile, the asphalt mixture with standard segregation degrees was simulated in the laboratory, and the evaluation criteria for aggregate distribution homogeneity of asphalt pavement based on TU value was established. The results show that the three-dimensional texture model reconstructed based on the grayscale image restores the surface morphology of asphalt pavement with high precision in texture characteristics. The fractal dimension calculated from the three-dimensional texture model of asphalt pavement shows a decreasing trend as the segregation degree of coarse aggregate increases. There is a good linear correlation between the multifractal spectral width Δα of texture morphology of asphalt pavement with different segregation degrees and texture depth. The larger the value of Δα, the more heterogeneous the aggregate distribution on asphalt pavement is. Based on the fractal dimension and multifractal spectral width, a novel evaluation index of homogeneity for three-dimensional texture structure can effectively evaluate the homogeneity of construction quality for asphalt pavement. The research results will provide corresponding reference for non-destructive detection of construction homogeneity for asphalt pavement.
Evaluation of Aggregate Distribution Homogeneity for Asphalt Pavement Based on the Fractal Characteristic of Three-Dimensional Texture
Int. J. Pavement Res. Technol.
Zhang, Ke (author) / Wei, Guangliang (author) / Luo, Yaofei (author) / Zhao, Yulong (author) / Zhao, Yu (author) / Zhang, Junting (author)
International Journal of Pavement Research and Technology ; 17 ; 577-594
2024-05-01
18 pages
Article (Journal)
Electronic Resource
English
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