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.
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Wang et al. (2015) studied this question.
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