The results show that the rheological model can effectively predict the asphalt pavement depth. used the Maxwell model to calculate the stress-strain response of asphalt pavement under load. The rheological model is currently widely used. Therefore, its scope of application is narrow. It has strong pertinence, but the cost of such models is high and the overall effect of pavement structure is not considered. put forward the empirical rutting prediction model based on AASHTO test pavement data. Thus, the triaxial repeated load test is widely considered to be the most accurate and feasible test method to reflect the characteristics of asphalt mixture.Īt present, the rutting prediction models of asphalt pavement can be roughly divided into two categories: empirical model and rheological model. studied the triaxial repeated load test and put forward the complete test parameters and method flow. Park verified the effect of temperature on asphalt mixture by the triaxial repeated load test and predicted the relationship between temperature and rutting by the temperature conversion factor. Cerni put forward a simplified method based on the triaxial repeated load test, which can accurately predict the material characteristics by adjusting the combination of stress and applied stress direction. The reports from NCHRP (the National Cooperative Highway Research Program) and SHRP (Strategic Highway Research Program) recommend the dynamic modulus test, triaxial static creep test, and triaxial repeated load test to assess the rutting resistance of asphalt mixture. It is proven that the triaxial repeated load test with adjustable lateral confining pressure and dynamic load can better simulate the actual stress state of asphalt pavement. Therefore, multiaxial repeated tests, for example, the triaxial repeated load test, were considered as a more suitable choice. However, due to the lack of lateral restraint, the stress state of specimen is different from that of actual road surface. The uniaxial test equipment is simple and easy to implement. Because there is a linear relationship between stress and strain of specimens in this kind of test, mechanical parameters reflecting material properties can be calculated and a complete rutting prediction model can be established. Another kind of test is based on mechanical principles, such as the uniaxial creep test and triaxial repeated load test. However, this kind of test cannot directly reflect the mechanical properties of materials, so the model established by it has certain limitations.
At present, the rutting test in lab is one of the main methods to assess the rutting resistance of asphalt mixture in China. One is the empirical test, such as the rutting test in lab and asphalt pavement analyzer test. Current tests can be roughly divided into two categories. The prediction of the model requires a feasible test method which can accurately reflect the characteristics of asphalt mixture to calibrate the parameters of the model. IntroductionĮstablishing the rutting prediction model of asphalt mixture is the mainstream scheme to study the rutting resistance of asphalt pavement. The results showed that the range of error ratio and residual sum of squares between simulated and measured rutting depth based on the two different models are 5–35%/5.0–8.74% and 3–15%/0.9–3.1%, respectively, which show that the quadratic modified Burgers rheological model has a more accurate prediction. The real tests were conducted on four asphalt mixtures, including SK-90 asphalt mixture, styrene-butadiene-styrene (SBS) modified asphalt mixture, direct coal liquefaction residue (DCLR) modified asphalt mixture, and compound DCLR modified asphalt mixture. Use ABAQUS to simulate the rutting depths through the existing Burgers model and the quadratic modified model and compare with the measured values of the multitemperature and load rutting tests and triaxial repeated load tests. This study establishes a more reasonable and effective rutting prediction model called the quadratic modified Burgers rheological model by considering dynamic loads.
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