首页> 外文会议>International Conference on Materials Engineering and Science >The influence of Aggregate Gradation Designed by Bailey Method on the Volumetric Properties of Asphalt Mixture Prepared by Superpave Design Method
【24h】

The influence of Aggregate Gradation Designed by Bailey Method on the Volumetric Properties of Asphalt Mixture Prepared by Superpave Design Method

机译:Bailey方法设计的骨料梯度对超级坡设计方法制备的沥青混合物体积性能的影响

获取原文

摘要

Asphalt mixture contains approximately 90-95% of mineral-aggregate by weight and the gradation of aggregate considers one of the key properties in the aggregate blend. Therefore , the aggregate gradation influence on the asphalt mixtures performance is a considerable problem. Mid-limit gradation curve is recognized as the most proper gradation, but does not all the time produce preferable results. The Bailey method provides a means for designing of aggregate gradation in asphalt mixtures, taking into consideration the volumetric aggregate blend characteristics , in order that asphalt mixtures exhibited a strong-skeleton for high stability and appropriate VMA for good durability. Bailey method calculations are time consuming. Therefore , Excel spreadsheet is developed in order to save time and decrease the calculation errors.Eight aggregate blends , which involve fine and coarse graded mixtures with four blends for each of the two types of mixtures , are designed for the evaluation of Bailey method and the optimum-asphalt-content is identified for each-gradation. The tests utilized for identifying the volumetric asphalt mix properties are conducted to find the effect Bailey parameter on the volumetric asphalt mix properties.
机译:沥青混合物含有约90-95%的矿物聚集体重量,聚集体的渐变考虑了骨料混合物中的关键特性之一。因此,对沥青混合物性能的聚集级别影响是一个相当大的问题。中限灰度曲线被认为是最适当的渐变,但并非所有时间都产生了优选的结果。 Bailey方法提供了一种用于在沥青混合物中设计聚集体级化的方法,考虑到体积聚集体混合特性,以便沥青混合物显示出高稳定性和适当的VMA的强骨架,以良好的耐久性。 Bailey方法计算是耗时的。因此,开发了Excel电子表格以节省时间并降低计算误差。IGLIGHT聚集混合物,其涉及微量和粗分级的混合物,用于评估Bailey方法的评估,涉及具有四种混合物的四种共混物。为每个灰度鉴定最佳沥青含量。用于识别体积沥青混合性能的测试是在体积沥青混合性质上找到效果Bailey参数。

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