Abstract
The purpose of this paper is to obtain the pore distribution of asphalt mixture accurately by nondestructive technology. Specimens prepared with four gradations of asphalt mixtures were scanned using X‐ray computed tomography (CT) which was used to measure air void sizes at different depths within specimens. The air void distributions of obtained CT images were analyzed using ring blocking segmentation combining Otsu’s method, which provided an accurate estimate of air voids in asphalt mixtures. The image processing results showed that air void distribution was not uniform in the specimens; higher air void concentrations were found at the top and bottom of the specimen, and lower, in the rest of the sample depth. The air void sizes of SUP13 and AC13 are mainly distributed between 0.15 to 0.2 mm, while PA13 and SMA13 are 0.4 to 0.65 mm and 0.4 to 0.7 mm, respectively. It is believed that the CT pictures processed by the ring blocking segmentation combining Otsu’s method is feasible and rational to capture the air voids size and content of asphalt mixtures.+
Highlights
Performances of asphalt mixtures are dependent on the volume of aggregate, asphalt binder, as well as air voids
Low air void content minimizes the aging of the asphalt binder films within the aggregate mass, the possibility of water penetrating into the mix, and stripping the asphalt binder off the aggregates [3]
Objectives e objective of this study is to investigate the air void distribution using X-ray computed tomography (CT), Otsu image processing method, and MATLAB software
Summary
Performances of asphalt mixtures are dependent on the volume of aggregate, asphalt binder, as well as air voids. Low air void content minimizes the aging of the asphalt binder films within the aggregate mass, the possibility of water penetrating into the mix, and stripping the asphalt binder off the aggregates [3]. E microstructure characteristics of asphalt mixture, such as voids and coarse aggregate, are studied using Otsu image processing method, MATLAB software, and image processing software, and the virtual asphalt mixture specimen is reconstructed. 2. Objectives e objective of this study is to investigate the air void distribution (i.e., air void content and air void size) using X-ray CT, Otsu image processing method, and MATLAB software. Image analysis software and computer algorithms were used to analyze the X-ray CT images and quantify the air void content, size distribution, and connectivity
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