A new method to characterize the stone-stone contact degree of asphalt mixture using X-ray computed tomography images

作者：Duan, Yuehua^*; Zhang, Xiaoning; Li, Zhi; Wang, Duanyi

来源：International Journal of Pavement Research and Technology, 2011, 4(6): 356-364.

• Contact searching
• Gamma distribution
• Kolmogorov-Smirnov
• Log-normal distribution
• Probability density functions (PDFs)
• Quantitative indicators
• Two dimensional (2D) image
• X-ray computed tomography

Until now, voids in the Coarse Aggregate (VCA) parameter were used to judge whether the coarse aggregate skeleton is formed in asphalt mixtures. However, this method has several shortcomings and deficiencies. In this paper, the X-ray Computed Tomography (CT) is used to obtain two-dimensional (2D) images through a series of digital image processing methods to separate the aggregates successfully. A contact searching method was established to find all the contacting pixels surrounding each particle. All pixels found were stored and analyzed. The contact degree changes, along with the different depths of the specimen, and the contacting pixel values calculated by the algorithm concentrate to approximately 0-20 pixels, which equals about 0-2 mm. Three quantitative indicators, Cl, C2, and C3, were established. Their input data were fitted by 4 different probability density functions (PDFs): Normal distribution, Lognormal distribution, Gamma distribution, and Weibull distribution. The goodness of the fit was simultaneously tested through two different formal statistical tests (Kolmogorov-Smirnov and Chi-square) to provide mathematical support. Finally, the Lognormal PDF was found to be the most suitable for describing the input data distributions, and Cl was recommended as the quantitative indicator for the assessment of stone-stone contact degree.

• 出版日期2011
• 单位华南理工大学