Evaluation of Fine Aggregate Morphology by Image Method and Its Effect on Skid-Resistance of Micro-Surfacing
1
State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan 430070, China
2
Shenzhen MacRitchie Technology Co., Ltd., Shen Zhen 518101, China
3
Faculty of Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China
4
National Engineering Research Center of Road Maintenance Technologies, Beijing 100095, China
5
Research Institute of Highway Ministry of Transport, Beijing 100088, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Materials 2018, 11(6), 920; https://doi.org/10.3390/ma11060920
Received: 5 May 2018 / Revised: 22 May 2018 / Accepted: 29 May 2018 / Published: 29 May 2018
(This article belongs to the Special Issue Environment-Friendly Construction Materials)
Micro-surfacing is a widely used pavement preventive maintenance technology used all over the world, due to its advantages of fast construction, low maintenance cost, good waterproofness, and skid-resistance performance. This study evaluated the fine aggregate morphology and surface texture of micro-surfacing by AIMS (aggregate image measurement system), and explored the effect of aggregate morphology on skid-resistance of single-grade micro-surfacing. Sand patch test and British pendulum test were also used to detect skid-resistance for comparison with the image-based method. Wet abrasion test was used to measure skid-resistance durability for feasibility verification of single-grade micro-surfacing. The results show that the effect of Form2D on the skid-resistance of micro-surfacing is much stronger than that of angularity. Combining the feasibility analysis of durability and skid-resistance, 1.18–2.36 grade micro-surfacing meets the requirements of durability and skid-resistance at the same time. This study also determined that, compared with British pendulum test, the texture result obtained by sand patch test fits better with results of image method.
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Keywords:
aggregate morphology; aggregate image measurement system; micro-surfacing; skid-resistance; surface texture
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Xiao, Y.; Wang, F.; Cui, P.; Lei, L.; Lin, J.; Yi, M. Evaluation of Fine Aggregate Morphology by Image Method and Its Effect on Skid-Resistance of Micro-Surfacing. Materials 2018, 11, 920.
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