| contributor author | Wang Hai-nian | |
| contributor author | Liu Yang | |
| contributor author | Bu Yin | |
| contributor author | Zhou Yang | |
| contributor author | Li Xiao-yan | |
| date accessioned | 2017-05-08T22:33:47Z | |
| date available | 2017-05-08T22:33:47Z | |
| date copyright | September 2015 | |
| date issued | 2015 | |
| identifier other | 49745074.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/82684 | |
| description 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. | |
| publisher | American Society of Civil Engineers | |
| title | Study on the Influential Factors in and the Optimization of Asphalt Mixture Scanning with X-Ray CT Technology | |
| type | Journal Paper | |
| journal volume | 9 | |
| journal issue | 3 | |
| journal title | Journal of Highway and Transportation Research and Development (English Edition) | |
| identifier doi | 10.1061/JHTRCQ.0000454 | |
| tree | Journal of Highway and Transportation Research and Development (English Edition):;2015:;Volume ( 009 ):;issue: 003 | |
| contenttype | Fulltext | |