Abstract: The adhesion between asphalt and aggregate is an important factor for asphalt mixture structure, and it is directly related to the main properties such as structural strength, water stability of asphalt mixture, and also has a great impact on the service life of asphalt pavement. Therefore, it is necessary to analyze the adhesion between asphalt and aggregate. Typical adhesion evaluation methods can be classified into the following three categories: (i)smearing the asphalt layer on the surface of stone substrate (or other materials), applying vertical tensile or shear stress to the interface between the asphalt layer and the substrate, and indirectly characterizes the adhesion between asphalt and aggregates by the magnitude of force (or shear strength) when asphalt is peeled off from the substrate surface; (ii) the asphalt-coated aggregate is placed in water, and the action of water causes the asphalt to peel off from the aggregate surface. The adhesion between asphalt and aggregate is evaluated by the degree of asphalt peeling from the aggregate surface; (iii) based on the surface energy theory, the surface energy parameters of asphalt and aggregate are tested, and the asphalt-aggregate adhesion is evaluated by the energy parameters. Standard Test Methods of Bitumen and Bituminous Mixtures for Highway Engineering (JTG E20-2011) in China specifies the use of boiling and water immersion methods to evaluate asphalt-aggregate adhesion properties. Although the test method is simple and fast, the results are influenced by human judgment and lack of quantitative evaluation indicators. With the development of science and technology, researchers have gradually applied various new technolofgies to the asphalt-aggregate adhesion performance test, such as ultrasonic simulation of hydrodynamic pressure to improve the traditional boiling method, the application of high-quality graphics processing system to quantify the degree of asphalt peeling. And based on atomic force microscope (AFM), the micro-nano scale asphalt-aggregate adhesion evaluation is carried out with different test modes. Neural network model is used to quantify the adhesion properties. With the continuous maturity of AFM, the application of this technology to evaluate asphalt-aggregate adhesion has become a research hotspot in recent years. At the same time, under the efforts of researchers, the newly developed test using AFM has made breakthroughs in measu-ring the surface energy and adhesion of asphalt and aggregates. Also some new research ideas have begun to appear. In order to investigate the changes in the adhesion properties of asphalt and aggregate under different loads, the researchers used dynamic mechanics analyzer (DMA) for tensile tests of “sandwich” cylinder specimens to analyze the relationship between asphalt and aggregate tensile bond fatigue and loading stress. Therefore, adhesion is associated with fatigue organically, and the asphalt mastic (aggregate + mineral powder) is taken as the research object, and the adhesion fatigue test is carried out. The adhesion between asphalt and fine aggregate is characterized by the adhesion fatigue failure of asphalt mastic. This paper reviewed the development history of asphalt and aggregate adhesion at home and abroad, comprehensively described the evaluation methods and studied the status of asphalt-aggregate adhesion. Four asphalt-aggregate adhesion evaluation systems were classified. The advantages and disadvantages of the evaluation methods in the evaluation system were compared. The shortcomings of asphalt adhesion evaluation system were presented, and the future development trends and research hotspots in this field were proposed. It provided the reference for the further improvement and application of asphalt-aggregate adhesion performance test method.
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2019, Vol. 33 
