摘要The effects of sample size, aggregate lithology, and compaction pattern on image scanning quality were determined using 225 kV industrial computer tomography equipment. Moreover, the scanning parameters of common Marshall asphalt mixture specimens were optimized. Results show that: (1) A large sample worsens image quality; (2) Granite mixtures are more suitable for subsequent image processing analysis than other counterparts are; and (3) Compaction patterns can affect imaging quality significantly. Finally, the ideal combination of scanning parameters was determined for Marshall asphalt mixture specimens. This combination can improve scanning accuracy and efficiency.
Abstract:The effects of sample size, aggregate lithology, and compaction pattern on image scanning quality were determined using 225 kV industrial computer tomography equipment. Moreover, the scanning parameters of common Marshall asphalt mixture specimens were optimized. Results show that: (1) A large sample worsens image quality; (2) Granite mixtures are more suitable for subsequent image processing analysis than other counterparts are; and (3) Compaction patterns can affect imaging quality significantly. Finally, the ideal combination of scanning parameters was determined for Marshall asphalt mixture specimens. This combination can improve scanning accuracy and efficiency.
基金资助:Supported by the National Natural Science Foundation of China (No.51178056); the Road and Transport R&D Project for Western Regions of China Commissioned by Ministry of Transport (No.2013319812010)
通讯作者:
WANG Hai-nian, E-mail:wanghn@chd.edu.cn
E-mail: wanghn@chd.edu.cn
引用本文:
汪海年, 刘杨, 卜胤, 周洋, 李晓燕. 基于X-Ray CT技术的沥青混合料扫描影响因素及其优化研究[J]. Journal of Highway and Transportation Research and Development, 2015, 9(3): 34-40.
WANG Hai-nian, LIU Yang, BU Yin, ZHOU Yang, LI Xiao-yan. Study on the Influential Factors in and the Optimization of Asphalt Mixture Scanning with X-ray CT Technology. Journal of Highway and Transportation Research and Development, 2015, 9(3): 34-40.
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