Evaluation of Air Void and Cracking Characters of Cement-Stabilized Crushed Stone through X-ray Computed Tomography

Author(s):  
Lei Zhang ◽  
Xu-dong Wang
2017 ◽  
Vol 152 ◽  
pp. 467-483 ◽  
Author(s):  
Haizhu Lu ◽  
Eugene Alymov ◽  
Sanjay Shah ◽  
Karl Peterson

2021 ◽  
Vol 173 ◽  
pp. 110948
Author(s):  
Yu Chen ◽  
Oğuzhan Çopuroğlu ◽  
Claudia Romero Rodriguez ◽  
Fernando F. de Mendonca Filho ◽  
Erik Schlangen

2012 ◽  
Vol 37 ◽  
pp. 93-101 ◽  
Author(s):  
Kwang Yeom Kim ◽  
Tae Sup Yun ◽  
Jinhyun Choo ◽  
Dong Hun Kang ◽  
Hyu Soung Shin

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Jiantong Zhang ◽  
Jun Yang ◽  
Tiejun Liu ◽  
Rongxing Cai ◽  
Rui Yang

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.+


2002 ◽  
Vol 14 (2) ◽  
pp. 122-129 ◽  
Author(s):  
E. Masad ◽  
V. K. Jandhyala ◽  
N. Dasgupta ◽  
N. Somadevan ◽  
N. Shashidhar

2021 ◽  
Vol 179 ◽  
pp. 109153
Author(s):  
Cailin Wang ◽  
Yong Hua ◽  
Sadegh Nadimi ◽  
Wassim Taleb ◽  
Richard Barker ◽  
...  

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