首页> 外文期刊>Construction and Building Materials >Laboratory improvement and field assessment of Volumetric design method based on multi-point Supported skeleton for asphalt mixtures (V-S method)
【24h】

Laboratory improvement and field assessment of Volumetric design method based on multi-point Supported skeleton for asphalt mixtures (V-S method)

机译:基于多点支撑骨架的沥青混合料容积设计方法(V-S方法)的实验室改进和现场评估

获取原文
获取原文并翻译 | 示例
           

摘要

The V-S method was proposed to design asphalt mixtures with satisfactory high-temperature stability. However, the design procedures in the laboratory are different from the field compaction condition since the degradation rate delta(c)(c) of coarse aggregates is determined by 100 Marshall compactions (MCs). In this study, the V-S method was improved in the laboratory and was subsequently assessed in the field. In the laboratory, the MC, roller compaction by wheel tracking, and Superpave gyratory compaction (SGC) were evaluated for the degradation rate delta(c)(c) with water binder instead of asphalt binder. Results show the SGC produces less degraded coarse aggregates, so the degradation rate delta(c)(c) should be determined by 100 SGCs instead of 100 MCs. Subsequently, the improved V-S method was applied for the upper surface course of a freeway, which was surveyed and cored for rutting after approximately 3-year service. In conclusion, with the improved V-S method, asphalt mixtures possess narrower deviations between the design and actual values of volume parameters in the laboratory and satisfactory high-temperature stability in the field. (C) 2019 Elsevier Ltd. All rights reserved.
机译:提出了V-S法设计具有令人满意的高温稳定性的沥青混合料。但是,实验室中的设计程序与现场压实条件不同,因为粗骨料的降解率delta(c)(c)由100马歇尔压实(MCs)确定。在这项研究中,V-S方法在实验室中得到了改进,随后在现场进行了评估。在实验室中,评估了MC,通过轮跟踪进行压路机压实和Superpave旋转压实(SGC)时使用水结合剂而不是沥青结合剂的降解率δ(c)(c)。结果表明,SGC产生的降解粗骨料较少,因此降解速率delta(c)(c)应由100个SGC而不是100个MC确定。随后,将改进的V-S方法应用于高速公路的上表面路线,经过大约3年的服务后,对其进行了勘测并取芯进行车辙试验。总之,通过改进的V-S方法,沥青混合料在实验室中体积参数的设计值与实际值之间的偏差更窄,并且在现场具有令人满意的高温稳定性。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号