چكيده به لاتين
Over time, pavements deteriorate due to the passage of traffic loads and exposure to various environmental conditions. So, the pavement is supposed to withstand the reloading of several heavy axes and must have sufficient resistance to damage. Fatigue and rutting are the most important of these failures, which are considered as the main concern of transportation organizations in the field of maintenance and service life of the pavement. Fatigue is one of the most important reasons for poor road paving, which occurs due to its reloading. Many laboratory studies are conducted to enhance the fatigue life of asphalt mixtures, in which researchers have tried to increase the quality of asphalt mixtures against traffic loads by using the desired additives. In recent years, additives such as polymers, iron powders, hydrated lime, glass waste, and crushed rubber have been considered to improve the properties of asphalt mixtures. Since the construction and conduct of the experiments were costly and time-consuming, this study was conducted to simulate the fatigue test in Abaqus software and validate it with the results of the doctoral dissertation of Wilfredo Valenzuela from Curtin University. Hence the purpose of this study is to compare the results of the bending beam test with 4-point loading with finite element model. The samples studied in this research are four beams that one of them is a control sample and the other three samples are with percentages of 1.5, 3, and 6% of Sasobit relative to the weight percentage of bitumen. The dimensions of the beam samples were 50*66*360 millimeters. Finally, for further validation of the test results with the simulation model, 4 beam specimens with the above dimensions were made and tested. Also, the results of the simulated model using Abaqus software, such as the results of Wilfredo Valenzuela's experiments, showed that increasing the Sasobit percentage improves fatigue resistance. Furthermore, increasing the Sasobit percentage in WMA increases the flexural stiffness but reduces the number of cycles due to fatigue. The simulated model using Abaqus software shows that the coefficients correlation for samples containing 0, 1.5, 3, and 6% Sasobit are 0.9, 0.87, 0.79, and 82, respectively, which is in good agreement with the laboratory results.
