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

doi:10.3969/j.issn.1002-0268.2014.11.002

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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.

Key words： road engineering asphalt mixture CT imaging quality CT scanning parameter Marshall specimen

Received: 07 March 2015

Fund: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)

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	WANG Hai-nian
	LIU Yang
	BU Yin
	ZHOU Yang
	LI Xiao-yan

Cite this article:

WANG Hai-nian,LIU Yang,BU Yin, et al. Study on the Influential Factors in and the Optimization of Asphalt Mixture Scanning with X-ray CT Technology[J]. Journal of Highway and Transportation Research and Development, 2015, 9(3): 34-40.

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http://manu27.magtech.com.cn/Jwk_gljtkj_en/EN/10.3969/j.issn.1002-0268.2014.11.002 OR http://manu27.magtech.com.cn/Jwk_gljtkj_en/EN/Y2015/V9/I3/34

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