Method for calculating characterization parameters of three-dimensional microstructure of asphalt mixture
A technology of asphalt mixture and mesostructure, which is applied in calculation, image data processing, electrical digital data processing, etc., can solve the problems of insufficient mesostructure characterization, lack of mesostructure design indicators, etc., and achieve the accuracy of evaluation High, complete evaluation system effect
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specific Embodiment approach 1
[0022] Specific implementation mode 1: In this implementation mode, a method for calculating the three-dimensional mesoscopic structure characterization parameters of asphalt mixture The specific process is as follows:
[0023] Mesostructure characterization parameters include the average shortest distance between the centroids of aggregates with a particle size greater than 4.75 mm and less than or equal to 9.5 mm D 4.75-9.5 (mm), the average value of the shortest distance between the centroids of aggregates with a particle size greater than 9.5mm and less than or equal to 13.2mm D 9.5-13.2 (mm), the average value of the shortest distance between the centroids of aggregates with a particle size greater than 13.2mm and less than or equal to 16mm D 13.2-16 (mm), the weighted average value V of aggregate volume ratios of different grades of aggregates with a particle size greater than 4.75mm and less than or equal to 9.5mm 4.75-9.5 , the weighted average V of aggregate volume r...
specific Embodiment approach 2
[0030] Specific embodiment two: the difference between this embodiment and specific embodiment one is that in the step one, based on the centroid coordinates of each aggregate (intercepting 1000 two-dimensional images, inputting three-dimensional reconstruction software, obtaining the center and Radius), calculate the spatial distance between each aggregate and the center of mass of other aggregates of the same file, and sort the calculated spatial distances to obtain the shortest distance between each aggregate and the center of mass of aggregates of the same file, and calculate the average value to obtain the same The mean value of the shortest distance between the centroids of the file aggregates (D); the specific process is:
[0031] Because it can only be accurately extracted (this invention is about asphalt mixture, it is a material mixed with asphalt and aggregates of different grades. It can only extract particles with a particle size of 4.75mm and above because CT The...
specific Embodiment approach 3
[0035] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is that the shortest distance between the centroids (D 13.2-16 ) The specific solution process is: (The following is to find D 13.2-16 as an example. )
[0036] figure 2 It is the projection diagram of the three-dimensional model of asphalt mixture, in which black represents aggregates with a particle size greater than 13.2 mm and less than or equal to 16 mm, dark gray represents aggregates with a particle size greater than 9.5 mm and less than or equal to 13.2 mm, and medium gray represents aggregates with a particle size greater than 4.75 mm and less than Equal to 9.5mm of aggregate.
[0037] (1) Randomly select one of the aggregates with a particle size greater than 13.2mm and less than or equal to 16mm (select No. 1 aggregate here) as No. 1 aggregate, and calculate the distance between the centroid of No. 1 aggregate and the centroid of other aggregates of the sa...
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