چكيده به لاتين
In this thesis, it has been tried to evaluate the performance of the geocomposite in asphalt overlays with laboratory and statistical studies to delay the reflective crack growth rate compared to control specimens. The purpose of statistical analysis was to investigate the effect of temperature parameters, loading rates and types of geosynthetics and their interaction on each other, in order to provide a second-order regression model based on laboratory parameters for predicting fatigue life, vertical displacement, vertical growth rate using From the methodology of the response plan. The results showed that in a given range of variables, temperature variations, the most effective parameter on fatigue life and other responses the second most effective parameter of geocomposite type. In addition, it has been determined that I-type geocomposite reinforced samples compared to Type II geocomposite and control samples in increasing fatigue life, decreasing crack growth rate, and ... at all loading frequencies and test temperatures, are better than themselves. Has shown. Based on the results of the image procesing, it has been determined that the trends and forms of crack growth in reinforced and non-reinforced samples vary considerably at different temperatures and frequencies. Whereas, at low temperatures and low frequencies (zero and 20 degrees Celsius), cracks grow from low to high, and the width of the cracks is lower. . This is accompanied by an increase in the temperature and loading frequency due to the reduction of the asphalt resistance caused by the reduction of adhesion and the fastening between the aggregate and bitumen, Cracks are also seen from the top down. The results also show that the performance of the geocomposite layers at 20 ° C is better than other temperatures. It should be explained that the prediction model presented in this study is the model of crack growth rate with 〖 R〗^2 (above 99%) is the best prediction model using the desired variables.
