摘要
沥青混合料密实程度的大小直接影响到路面结构的抗拉或抗压强度,橡胶沥青混合料中由于高弹性废胎胶粉的存在,使得其压实后的特性与普通沥青混合料有很大的区别。根据研究内容选用橡胶沥青混合料AR-SMA-13进行橡胶沥青中不同胶粉掺量、不同油石比、不同细料控制率、不同击实功(次数)的马歇尔击实试验,测其击实后与冷却后试件高度计算线膨胀率,分析马歇尔试件线膨胀率与以上各因素之间的关系,并分析橡胶沥青混合料线膨胀性能与体积指标之间的相关性。结果表明,随着橡胶沥青中胶粉掺量的增加,AR-SMA-13橡胶沥青混合料马歇尔试件线膨胀率呈对数增加;增加合成矿料中0.075 mm的通过率,混合料马歇尔试件的线膨胀率呈线性增加;增加击实功,混合料的空隙率变小,试件的线膨胀率随之增大;建立的线膨胀率预估模型,能够很好地模拟试验数据;压实度越大,橡胶沥青混合料AR-SMA-13的线膨胀率也越大。
The compaction degree of asphalt mixture directly affects the tensile or compressive strength of the pavement structure, due to the high elastic crumb rubber exists in asphalt rubber mixture, its compaction characteristics is quite different from ordinary asphalt mixture. According to research content, selecting asphalt rubber mixture AR - SMA - 13, the Marshall compaction tests with different crumb rubber contents, different asphalt-aggregate ratios, different fines control rates, and different compaction works (numbers) are conducted to measure the heights of samples after compaction and cooling. Then, the relationships between the linear expansion rate of Marshall sample and the above factors are analyzed, and the correlation between the linear expansion performance of asphalt rubber mixture and volume indicator is analyzed. The result shows that ( 1 ) with the increase of rubber powder content, the linear expansion rate of Marshall sample of AR - SMA- 13 asphalt rubber mixture increase logarithmically; (2) increase 0. 075 mm passing rate of the composite material, the linear expansion rate of Marshall sample increases linearly ; (3) Increase compaction work, the mixture void fraction decreases, and its linear expansion rate increases; (4) the established linear expansion prediction model can well simulate experimental data; (5) the larger the compactness, the greater the linear expansion rate of asphalt rubber mixture AR - SMA - 13.
出处
《公路交通科技》
CAS
CSCD
北大核心
2016年第3期31-36,共6页
Journal of Highway and Transportation Research and Development
基金
甘肃省科技计划项目(1305TCYA024)
甘肃省科技支撑计划项目(1104GKCA026)
关键词
道路工程
橡胶沥青线膨胀性能
试验
马歇尔试件
体积参数
预估模型
road engineering
asphalt rubber linear expansion performance
test
Marshall sample
volume parameter
prediction model