Effect of recycled concrete aggregate features on adhesion properties of asphalt mortar-aggregate interface

被引:16
|
作者
Ren, Haisheng [1 ,4 ]
Qian, Zhendong [1 ]
Lin, Bin [3 ]
Huang, Qibo [1 ,2 ]
Crispino, Maurizio [4 ]
Ketabdari, Misagh [4 ]
机构
[1] Southeast Univ, Intelligent Transportat Syst Res Ctr, Nanjing 211189, Peoples R China
[2] Foochow Transportat Dept, Fuzhou 350004, Peoples R China
[3] CCCC Second Highway Consultants Co Ltd, Wuhan 430118, Peoples R China
[4] Politecn Milan, Dept Civil & Environm Engn, I-20133 Milan, Italy
关键词
RCA feature; Asphalt -RCA interface; Cohesive zone model; GA -BP artificial neural network model; Interface adhesions behavior; SIMULATION; MIXTURE; PREDICTION; STRENGTH; FAILURE;
D O I
10.1016/j.conbuildmat.2022.129097
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Asphalt-aggregate interface's adhesion properties commonly affect the damage initiation and evolution within asphalt concrete materials, related to pavement durability and quality. The scope of this research was to investigate the influence of Recycled Concrete Aggregate (RCA) features on asphalt mortar-aggregate interface adhesion. Firstly, a three-dimensional reconstruction model of RCA was carried out using X-ray CT tomography and digital image processing. In this regard, five feature indicators, namely cement mortar content, sphericity, flat and elongated ratio, angularity, and surface texture, were proposed. Based on a bilinear cohesive zone model, the interface damage behavior of asphalt mortar-RCA was investigated by using a uniaxial compression simu-lation. Finally, a GA-BP artificial neural network was conducted to predict and quantify the effect of each feature indicator of RCA on interface adhesion. The results showed that when RCA had lower cement mortar content, higher sphericity value, and smoother surface, the asphalt mortar-RCA system was less prone to interface adhesion failure. The 5-14-1 GA-BP artificial neural network proposed in this study showed very good perfor-mance in predicting the interfacial dissipation damage energy with a mean-squared error value of 3.52 x 10-4 for testing dataset. The cement mortar content parameter exhibited a remarkable influence on the interface adhesion property, and its global contribution to the interfacial dissipation damage energy (0.3486) was more than twice that of the surface texture parameter (0.1316). In future studies, the performance characteristics of cement mortar can be further investigated, thereby proposing RCA's performance optimization technology.
引用
收藏
页数:11
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