Method for detecting and evaluating distribution uniformity of bituminous pavement aggregate
A technology for distribution uniformity and asphalt pavement, which is applied in the field of uniformity evaluation of asphalt pavement construction. It can solve the problems of unable to reflect the arrangement of aggregates and the segregation of pavement aggregates, and achieve the effect of avoiding information errors.
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Embodiment 1
[0127] Embodiment 1: Asphalt pavement aggregate distribution uniformity detection and evaluation method mainly includes the following steps:
[0128] (1) Detection of distribution uniformity of asphalt pavement pavement aggregates
[0129] In order to evaluate the aggregate distribution uniformity of the asphalt pavement, in the surface layer of an asphalt pavement, a section A with a length of about 1000m is selected to be tested. The road surface image acquisition device is used to collect and detect the texture structure image of the surface of the road section, and the vertical and horizontal distances of image collection are 50m and 1.5m respectively. Use MATLAB software to process the collected images, and calculate the width K of the macroscopic structure of the road surface in each measuring point area, as shown in Table 2.
[0130] Table 2 The macroscopic structural width of the road surface of the detected road section
[0131]
[0132] According to the aggregat...
Embodiment 2
[0146] Embodiment 2: Asphalt pavement aggregate distribution uniformity detection and evaluation method mainly includes the following steps:
[0147] (1) Detection of distribution uniformity of asphalt pavement pavement aggregates
[0148]In order to evaluate the uniformity of aggregate distribution of asphalt pavement, in the surface layer of an asphalt pavement, a section B with a length of about 1000m is selected to be tested. The road surface image acquisition device is used to collect and detect the texture structure image of the surface of the road section, and the vertical and horizontal distances of image collection are 50m and 1.5m respectively. Use MATLAB software to process the collected images, and calculate the width K of the macroscopic structure of the road surface in each measuring point area, as shown in Table 6.
[0149] Table 6 The macroscopic structural width of the detection section road table
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[0151]
[0152] According to the aggregate s...
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