Road Performance Evaluation of Modified Steel Slag Asphalt Mixture based on Chaos Optimization Neural Network

摘要

The road performance evaluation method, determining the asphalt mixture inaccurate evaluation index, resulting in a stable and freeze-thaw splitting strength variation inaccurate assessment before and after immersion, is proposed for this neural network based on chaos optimization slag Modified Asphalt Mixture Pavement performance evaluation methods. Analysis of Modified slag asphalt mixture, the performance index of the composition is determined slag modified asphalt road performance evaluation index; full Chaotic optimization neural network convergence speed fast convergence and high accuracy, the establishment of road performance evaluation model; calculating road pavement structural strength performance index and a coefficient, road assessment modified asphalt with slag porous. Experimental results show that the modified bitumen slag study Mixes performance evaluation method when evaluating slag modified asphalt road performance, stability and freeze-thaw splitting strength change before and after immersion of the right path performance, evaluate the results more accurate.