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Evaluating RLWT Rutting Test of Asphalt Mixtures Based on Industrial Computerized Tomography
Joint Authors
Zhang, Xiaoning
Wu, Wenliang
Li, Zhi
Li, Minghui
Source
Advances in Materials Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-24
Country of Publication
Egypt
No. of Pages
8
Abstract EN
To eliminate the effects of image’s light and shade difference when separating and distinguishing the material composition, a method is put forward, namely, ring-type and partitions threshold segmentation.
It means setting up different segment threshold for different areas of the same image and then combining these different areas into one image.
Furthermore, by analyzing the CT image before and after the RLWT rutting test for the drilling specimen and Marshall specimen and taking the volume of air voids and the angle (alpha) between max main axis and X axis, the differences of two kinds of specimens’ macrotest results were discussed from internal structure distribution.
Here, we show that there are differences between macrotest results of two kinds of specimens because of internal air voids and aggregate distribution, which should be considered for compliance testing.
American Psychological Association (APA)
Wu, Wenliang& Li, Zhi& Zhang, Xiaoning& Li, Minghui. 2018. Evaluating RLWT Rutting Test of Asphalt Mixtures Based on Industrial Computerized Tomography. Advances in Materials Science and Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1121480
Modern Language Association (MLA)
Wu, Wenliang…[et al.]. Evaluating RLWT Rutting Test of Asphalt Mixtures Based on Industrial Computerized Tomography. Advances in Materials Science and Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1121480
American Medical Association (AMA)
Wu, Wenliang& Li, Zhi& Zhang, Xiaoning& Li, Minghui. Evaluating RLWT Rutting Test of Asphalt Mixtures Based on Industrial Computerized Tomography. Advances in Materials Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1121480
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121480