A Quantification Method of Angularity of Road Coarse Aggregate

Abstract

The invention discloses a method for quantifying the angularity of coarse aggregate for road use, which includes inputting the aggregate image obtained by the aggregate angularity detection system, graying the aggregate image and a series of processing, reading the aggregate image, and adopting the M structure Elements are extracted from the morphological aggregate skeleton to obtain all the information of the edges and corners of the aggregate; each variable is initialized, and the morphological operation obtains the skeleton image of the aggregate particle; the skeleton image of the aggregate particle is read, and the morphological closed operation is performed on the pixel of the aggregate skeleton image Connect the operation and calculate the size of the skeleton image. Use the morphological operation to remove the target boundary pixels to form the skeleton of the image, binarize the aggregate skeleton image, and sum the number of corner points of each aggregate skeleton image; use the average corner point to represent For the angularity of a single aggregate, the angularity of the entire batch of aggregates is quantified by the average angular point and the area weight. It can realize efficient and accurate detection and quantitative analysis of the angularity of aggregates, and has the 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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