Abstract
Gradation has an important influence on the mechanical properties of earth and stone materials after compaction, and a reasonable gradation is the key to ensure compaction quality. In this paper, a set of earth and stone materials gradation detection system based on digital image processing was proposed, which was suitable for detection in the construction sites. The system obtained images which were taken from multiple directions of materials transport vehicle, used the thresholding method to segment the images, detected particle contours through edge detection algorithm of Canny to realize the image recognition of particle size, and drew the gradation curve of earth and rock materials finally. It was verified by selecting limestone aggregates of different gradations, and the results showed high accuracy. The system can realize on‐site detection of the earthwork gradation rapidly and accurately at a dam construction site.
Highlights
Earth and stone materials are major construction materials used in hydraulic, highway, railway, and structural engineering
A scaled prototype was assembled to investigate the stability and accuracy of the system proposed. e gradation of typical limestone material was tested and the results were compared with the results of traditional sieve analysis to verify the reliability of the proposed detection system. e proposed gradation detection system has many advantages over traditional sieve analysis, including (1) no requirement of complicated sieving equipment, (2) rapid real-time data processing, (3) the full use of and incorporation into existing construction facilities, requiring no additional procedures, and (4) the rapid, stable, and reliable gradation detection of earth and stone materials in practice
A comparative analysis was conducted for the test results; i.e., gradation curves obtained by the image recognition detection system and by standard sieving analysis were compared and analyzed and characteristic particle size errors in the test results were taken as evaluation indicators
Summary
Earth and stone materials are major construction materials used in hydraulic, highway, railway, and structural engineering. Kim [3] and Haas et al [4] realized the automation of the rapid detection of aggregate properties, such as size, shape, angularity, and texture, through laser profile scanning, and various digital image analyses. Kwan et al [19], adopting digital image processing, analyzed the shapes of coarse aggregates and measured the shape features of main particles, resulting in stronger correlation and a higher detection rate compared with traditional manual measurement. E proposed gradation detection system has many advantages over traditional sieve analysis, including (1) no requirement of complicated sieving equipment, (2) rapid real-time data processing, (3) the full use of and incorporation into existing construction facilities, requiring no additional procedures, and (4) the rapid, stable, and reliable gradation detection of earth and stone materials in practice A scaled prototype was assembled to investigate the stability and accuracy of the system proposed. e gradation of typical limestone material was tested and the results were compared with the results of traditional sieve analysis to verify the reliability of the proposed detection system. e proposed gradation detection system has many advantages over traditional sieve analysis, including (1) no requirement of complicated sieving equipment, (2) rapid real-time data processing, (3) the full use of and incorporation into existing construction facilities, requiring no additional procedures, and (4) the rapid, stable, and reliable gradation detection of earth and stone materials in practice
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