Performance Analysis And Prediction Of Oil Shale Waste And SBS Composite Modified Asphalt Mixture

With the rapid development of our country's economy,our country highway's axle load is increasing,even overload phenomenon is getting more serious,which makes our asphalt concrete pavement encounters the different degree of damage,such as rutting,cracks,pits and floods.In order to havemore comfort and stability of driving,it is necessary for us to analyze and study the pavement performance of asphalt concrete,such as high temperature stability,low temperature bending.The main research contents of this paper are as follows:1.Through SPSS software,set the amount of oil shale waste residue(0%,3%,6%,9%),SBS amount(4%,5%,6%,7%),shear-temperature(135 ?,145 ?,155 ?,165 ?)three factors and four levels of orthogonal test design.Based on the direct mixing method,the interaction between the three factors was evaluated,and the best preparation process for the oil shale waste residue/SBS composite modified asphalt was determined as follows: the oil shale waste residue content is 6%.The SBS content is 6% and the shear temperature is 145?.2.Design AC-13(S1,S2,S3)and AC-16(S1,S2,S3)a total of six grades,to conduct rut test,low temperature bending test,bond strength test,water immersion Marshall test,freeze-thaw split test To compare and analyze the road performance of oil shale waste residue/SBS composite modified asphalt mixture.The test results show that the blending of oil shale waste residue can improve the road performance of SBS modified asphalt,and the high temperature stability can be improved by more than 10%.For low-temperature crack resistance,the low-temperature bending strength of oil shale waste residue/SBS composite modified asphalt mixture is lower than that of SBS modified asphalt mixture.Oil shale waste residue can improve the water stability of SBS asphalt mixture.Oil shale waste slag does not significantly improve the low-temperature bond strength of SBS asphalt,but it can improve the temperature-sensing performance of asphalt.Compared with-20?,the bond strength of SBS modified asphalt decreases by 17.2%.The bond strength of SBS modifiedasphalt decreased only by 14.7%.3.Based on the grey correlation analysis theory,analyze the maximum correlation factors of various road performances of the composite modified asphalt.The results show that the maximum correlation factors of high-temperature stability,low-temperature crack resistance and water stability of oil shale waste residue/SBS composite modified asphalt mixture are dynamic stability(association degree 0.6748)and oil-rock ratio(association degree 0.6549),bond strength and porosity(association degree 0.6442 and 0.6328).4.Based on the discrete data of the high-temperature stability test,establish a grey prediction model for the dynamic stability of S1 graded oil shale waste residue/SBS composite modified asphalt mixture.The results show that the error between the predicted value of the model and the predicted value of the experimental analysis is about 20%,and the analysis of the predicted discrete data is more accurate,which can effectively predict the future value change trend.5.Based on BP neural network,establish a low-temperature anti-cracking performance prediction model for the three influencing factors of oil shale waste residue/SBS grading,temperature and oil-rock ratio.The results show that the correlation coefficient of the prediction model is 0.9706,which can be used to predict the road performance in low temperature environments.Finally,a visualization program is established based on the GUIDE function of Matlab,which provides convenience for relevant personnel to use the composite modified asphalt mixture.