4.7 Article

Performance evaluation of waterborne epoxy resin modified hydrophobic emulsified asphalt micro-surfacing mixture

期刊

CONSTRUCTION AND BUILDING MATERIALS
卷 249, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2020.118835

关键词

WER; Micro-surfacing; Hydrophobic anti-icing performance; Pavement performance; Skid resistance performance

资金

  1. National Natural Science Foundation of China (NSFC) [51578076]
  2. Fundamental Research Funds for the Central Universities, CHD [300102219207]

向作者/读者索取更多资源

In order to overcome the shortcomings of the durability of hydrophobic emulsified asphalt coating due to attenuation of skid resistance performance and insufficient wear resistance, Waterborne epoxy resin (WER) was used as a modifier to prepare WER modified hydrophobic emulsified asphalt (WERHEA), which was used for the micro-surfacing mixture. The wet track abrasion test and load wheel test were used to determine the optimal asphalt dosage range of the micro-surfacing mixture of the two kinds of aggregates. The hydrophobic and anti-icing properties of the WERHEA micro-surfacing mixture were verified. In addition, the wear resistance performance, interlayer bonding performance, skid resistance performance and the attenuation of skid resistance performance after accelerated wear test was considered. The results show that when the content of WER is 12%, the oil stone ratio of granite micro-surfacing mixture is 7.5-8.6%, and that of basalt micro-surfacing mixture is 7.4-8.4%; the wear resistance of the micro-surfacing mixture is significantly improved, and the wear resistance of basalt is better than that of granite; 46% increase in shear strength and 105.7% increase in pull strength; The British pendulum number (BPN) and the Texture depth (TD) reached the peak, and then there was a downward trend. Considering that the increase in WER content may cause the mixture to segregate and reduce the skid resistance performance. After the accelerated abrasion test, its skid resistance performance is still the best with 12% WER. Therefore, the optimal amount of WER is 12%. (C) 2020 Elsevier Ltd. All rights reserved.

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