Concrete coarse aggregate angularity measuring method based on digital image processing

Abstract

The invention discloses a coarse aggregate corner angle quantitative analysis method based on image processing, which comprises the following steps: screening aggregates to obtain aggregates with different particle sizes and different corner angles, and abrading the aggregates with different degrees according to required aggregate particle size grades to obtain sample aggregate particles with different corner angle characteristics; then the aggregate particles are subjected to image collection, the acquired aggregate particle images are preprocessed, and the aggregate particle image preprocessing comprises aggregate particle image graying, denoising, aggregate particle image enhancement, segmentation and expansion corrosion morphological frame extraction is carried out on the preprocessedaggregate image, and the aggregate angularity is analyzed and evaluated according to the frame. The method can quickly and accurately quantify the corner angle characteristics of the aggregate, and timely feed back the result to the early production and grading sorting process, so as to ensure the quality of the asphalt mixture and improve the pavement performance and prolong the service life.

Description

technical field [0001] The invention belongs to a method for measuring concrete coarse aggregates in the technical field of road engineering, in particular to a method for quantitatively analyzing the edges of concrete coarse aggregates based on digital image processing. Background technique [0002] Quantification of aggregate morphological characteristics is the key to aggregate production and quality control of pavement construction, which directly affects the life and performance of pavement. 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 t...

AI Technical Summary

Problems solved by technology

[0003] (1) The detection technology is backward: since most of the existing aggregate edge angle detection methods adopt 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

[0004] (2) Poor detection accuracy: most of the existing edge angle 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 is limited high

[0005] (3) Different norms: 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.

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