Method for quantifying angularity of coarse aggregate for road

Abstract

The invention discloses a method for quantifying the angularity of coarse aggregate for road. The method comprises: inputting into an aggregate angularity detection system to obtain an aggregate image; carrying out graying and a series of treatments on the aggregate image; reading the aggregate image, and carrying out morphological aggregate skeleton extraction by using an M structure element to obtain all the information of the edges and the corns of the aggregate; initializing each variable, and carrying out morphological operation to obtain an aggregate particle skeleton image; reading theaggregate particle skeleton image, carrying out aggregate skeleton image pixel connection operation through morphological close operation, obtaining the size of a skeleton image, removing the target boundary pixels through morphological operation, forming the skeleton of the image, carrying out binaryzation on the aggregate skeleton image, and summing the angular points of each aggregate skeletonimage; and characterizing the angularity of the single aggregate by using the average angular point, and co-quantifying the angularity of the whole-batch aggregate by using the average angular point and the area weight. With the method of the present invention, the angularity of the aggregate can be efficiently and precisely detected and quantitatively analyzed, and the method has advantages of high detection efficiency, strong objectivity and low detection cost.

Description

technical field [0001] The invention belongs to the field of road engineering and relates to the quantification of aggregate characteristics, in particular to a method for quantifying the angularity of coarse aggregate for road use. Background technique [0002] In the construction of newly-added expressway network, asphalt concrete pavement accounts for more than 90%. In order to prolong the life of the pavement and improve the performance, it is necessary to improve the quality of the mixture. People often only start from the gradation composition of the mixture and asphalt. , there are relatively few quantitative studies on aggregate properties. The morphological characteristics of aggregates are one of the important factors affecting the performance of mixtures, mainly including size, shape, angularity and surface texture. The distribution of aggregate size affects the durability and strength characteristics of asphalt mixture; the shape of aggregate affects the stabili...

AI Technical Summary

Problems solved by technology

[0003] 1) The detection technology is backward

[0004] Since most of the existing detection methods for the angularity of aggregates use manual or semi-manual manual empirical detection, the detection equipment is huge and the mobility is poor, and the detection process is complicated, time-consuming and laborious.

[0005] 2) Poor detection accuracy

[0006] Most of the existing angular detection methods are qualitative analysis rather than quantitative analysis, the detection results are greatly affected by the level of personnel and operating habits, the accuracy of the collected data is not high and the recording process is cumbersome, and the engineering application limitations are high

[0007] 3) Different norms

[0008] The United States and Europe have their own evaluation methods for the angularity of coarse aggregates, but most of them are qualitative indicators. At present, there is no clear specification and quantitative indicators for the angularity of aggregates in my country, which varies from person to person, and is evaluated according to different standards. The angularity of aggregates varies greatly, which directly leads to confusion in the selection of asphalt mixture materials, low quality, and early road performance degradation or damage to asphalt pavement.

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