A novel evaluation method of aggregate distribution homogeneity for asphalt pavement based on the characteristics of texture structure

Abstract

To realize the non-destructive detection of aggregate distribution homogeneity for asphalt pavement, the texture imaging device was developed to acquire the surface image of asphalt pavement. According to the distribution characteristics of texture structure, an improved segmentation algorithm for pavement texture image was proposed. A novel evaluation method of aggregate distribution homogeneity for asphalt pavement based on digital image processing (DIP) technique was discussed. The rutting specimens of asphalt mixture with standard segregation levels were simulated in laboratory, and the evaluation standard of aggregate distribution homogeneity was established. The results show that the improved threshold segmentation method combining rectangular partition and Otsu algorithm realizes the effective segmentation of texture structure from pavement image. The proposed index (D) for aggregate distribution homogeneity based on the quantity and location of texture structure has a good correlation with the texture depth, which can be used to evaluate the aggregate distribution homogeneity of asphalt pavement comprehensively. The evaluation standard of aggregate distribution homogeneity based on D value provides the reference to analyze the construction quality of asphalt pavement.