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冷再生混合料垂直振动成型法设计与评价
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  • 英文篇名:Design and evaluation of cold recycled mixture by vertical vibration forming method
  • 作者:蒋应军 ; 韩占闯 ; 胡永林
  • 英文作者:Jiang Yingjun;Han Zhanchuang;Hu Yonglin;Key Laboratory of Highway Engineering in Special Region of Ministry of Education,Chang'an University;Jindong District Highway Administration Bureau;
  • 关键词:冷再生混合料 ; 垂直振动成型方法 ; 马歇尔法 ; 力学强度 ; 最大干密度
  • 英文关键词:cold recycled mixture;;vertical vibration forming method;;Marshall method;;mechanical strength;;maximum dry density
  • 中文刊名:NJLG
  • 英文刊名:Journal of Nanjing University of Science and Technology
  • 机构:长安大学特殊地区公路工程教育部重点实验室;金东区公路管理局;
  • 出版日期:2019-05-08 16:38
  • 出版单位:南京理工大学学报
  • 年:2019
  • 期:v.43;No.225
  • 基金:浙江省交通科技项目(2016-02-17)
  • 语种:中文;
  • 页:NJLG201902010
  • 页数:7
  • CN:02
  • ISSN:32-1397/N
  • 分类号:62-68
摘要
为更好地模拟乳化沥青冷再生混合料现场压实工况,采用垂直振动成型方法(VVTM)对冷再生混合料进行压实,验证了方法的可靠性。对比研究了VVTM和马歇尔法对乳化沥青冷再生混合料物理和力学特性的影响。结果表明,VVTM试件力学强度与现场芯样的相关性高达94.8%,马歇尔试件的相关性不足60%。与现行方法的成型试件相比,VVTM成型试件的最佳含水率降低10%,最大干密度提高1.8%~2.3%,乳化沥青最佳用量降低7%~10%,力学性能提高32%以上,说明VVTM比马歇尔法更适于评价乳化沥青冷再生混合料的力学性能。
        In order to simulate the field compaction condition of emulsified asphalt mixture better,the vertical vibration forming method(VVTM)is used to compact the cold reclyled mixture,and the reliability of the method is verified. The effects of the VVTM and the Marshall method on the physical and mechanical properties of the cold reclyled emulsified asphalt mixture are compared and studied. The results show that the correlation between the mechanical strength of the VVTM specimen and the field core sample is up to 94.8%,and it is less than 60% for the Mashall specimen. Compared with the current method,the best moisture content of the VVTM moulding specimens decreases by 10%,the maximum dry density increases by 1.8%~2.3%,the optimal amount of emulsified asphalt decreases by 7%~10%,and the mechanical performance is improved by 32% at least. It is proved that the VVTM is more suitable for the evaluation on the mechanical properties of emulsified asphalt mixture than the Marshall method.
引文
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