Construction quality uniformity detection and evaluation method of asphalt pavement
A technology for asphalt pavement and construction quality, which is applied in the direction of specific gravity measurement, measuring device, optical test for flaws/defects, etc. It can solve the problems of lack of uniformity of asphalt pavement construction and achieve the effect of avoiding information errors
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Embodiment 1
[0149] Embodiment 1: Asphalt pavement construction quality uniformity detection and evaluation method mainly comprises the following steps:
[0150] (1) Detection of aggregate distribution uniformity on asphalt pavement, including two parts: the road surface and the interior of the pavement:
[0151] 1) Detection of distribution uniformity of asphalt pavement pavement aggregates
[0152] 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 macroscopic structure width K of the road surface in each measuring point area, as shown in Table 3.
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Embodiment 2
[0191] Embodiment 2: Asphalt pavement construction quality uniformity detection and evaluation method, mainly comprises the following steps:
[0192] (1) Detection of aggregate distribution uniformity on asphalt pavement, including two parts: the road surface and the interior of the pavement:
[0193] 1) Detection of distribution uniformity of asphalt pavement pavement aggregates
[0194] 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 macroscopic structure width K of the road surface in each measuring point area, as shown in Table 12. ...
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