Statistical evaluation of factors affecting the laboratory rutting susceptibility of asphalt mixtures

被引:41
作者
Hussan, Sabahat [1 ]
Kamal, Mumtaz Ahmed [1 ]
Hafeez, Imran [1 ]
Farooq, Danish [1 ]
Ahmad, Naveed [1 ]
Khanzada, Shahab [2 ]
机构
[1] Univ Engn & Technol, Dept Civil Engn, Taxila, Pakistan
[2] Natl Highway Author, Islamabad, Pakistan
关键词
Rutting; Cooper wheel tracking test (CWTT); asphalt mixture; PERFORMANCE;
D O I
10.1080/10298436.2017.1299527
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Rutting or plastic deformation is one of most frequently observed distress types in the wheel paths of flexible road pavements. This distress may cause the pavement structure to be attributable to early failure by expediting the deterioration due to load and environmental detrimental agents. Therefore, it is ideal to simulate the rutting performance of different asphalt mixtures in laboratory-controlled conditions before exposing them to aggressive field conditions. Different rutting simulation computer-controlled equipments are available to predict the mixture performance in laboratory at nearly similar conditions to actual in-service pavements. Cooper wheel tracking equipment is one such precise equipment. Mostly, the wearing course is likely to be damaged by this distress type in flexible asphalt pavements. Therefore, in this research study, thirty representative wearing course mixtures commonly used in road pavements were tested for rutting distress using Cooper wheel tracker. Three aggregate sources, three binders from two sources, five mixture gradations and two temperature conditions were included in the testing scheme. Mixtures were evaluated based on the terminal value of rut depth. Consistent ranking of mixtures has been observed for variable combinations of aggregates, binders, temperatures and gradations. Flakiness index (FI) of aggregates, binder penetration values, per cent coarse material retained on 4.75 mm sieve and temperature values are considered as independent variables based on past researches. The significance of these independent variables on the dependent variable of rut depth has been analysed by analytical tools of general full factorial design analysis. It has been concluded that temperature has highest significance for the rut depth prediction, followed by FI of aggregates, bitumen penetration value and percentage of coarse fraction.
引用
收藏
页码:402 / 416
页数:15
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