首页 | 本学科首页   官方微博 | 高级检索  
     

低RAP掺量沥青混合料冻融性能试验
引用本文:张敏江,李正楠,方竹胜,赵爽.低RAP掺量沥青混合料冻融性能试验[J].沈阳工业大学学报,2019,41(5):578-583.
作者姓名:张敏江  李正楠  方竹胜  赵爽
作者单位:沈阳建筑大学 交通工程学院, 沈阳 110168
基金项目:国家自然科学基金资助项目(51178278);辽宁省交通厅科技攻关项目(201608)
摘    要:针对低掺量RAP热拌沥青混合料的抗冻融性能存在的一些问题,采用不同RAP掺量和不同级配类型的沥青混合料进行冻融劈裂试验.利用多元线性回归建立影响因素与强度比的关系,采用因子分析法找出主要的影响因子,并利用超景深显微镜及电镜分析沥青混合料的微观形貌.结果表明:AC-10材料的冻融劈裂强度比优于AC-13;随着RAP掺量的增加,冻融劈裂强度比随之下降;粒径1. 18 mm以下的细集料与沥青的老化程度是影响冻融劈裂强度的关键因素.

关 键 词:低掺量  再生沥青混合料  劈裂强度比  抗冻性能  因子分析  微观扫描  融合特性  多元回归  

Freezing-thawing experiments for asphalt mixtures with low RAP contents
ZHANG Min-jiang,LI Zheng-nan,FANG Zhu-sheng,ZHAO Shuang.Freezing-thawing experiments for asphalt mixtures with low RAP contents[J].Journal of Shenyang University of Technology,2019,41(5):578-583.
Authors:ZHANG Min-jiang  LI Zheng-nan  FANG Zhu-sheng  ZHAO Shuang
Affiliation:School of Traffic Engineering, Shenyang Jianzhu University, Shenyang 110168, China
Abstract:In order to solve some existing problems of anti-freezing-thawing performances of hot-mixed asphalt mixtures with low RAP contents, freezing-thawing splitting experiments were carried out for the asphalt mixtures with different RAP contents and different grading types. The relationship between influencing factors and strength ratio was established with the multivariate linear regression, and main influencing factors were discovered with the factor analysis method. In addition, the microstructure of asphalt mixture was analyzed with the microscope with super field depth and scanning electron microscope(SEM). The results show that the freezing-thawing splitting strength ratio of AC-10 is better than that of AC-13. With the increasing RAP contents, the freezing-thawing splitting strength ratio decreases. The fine aggregates with grain sizes below 1.18 mm and the aging degree of asphalt are key factors affecting the freezing-thawing splitting strength.
Keywords:low content  asphalt mixture  splitting strength ratio  frost resistance  factor analysis  microscopic scanning  fusion feature  multivariate regression  
本文献已被 CNKI 等数据库收录!
点击此处可从《沈阳工业大学学报》浏览原始摘要信息
点击此处可从《沈阳工业大学学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号