Three-phase Volume Rate Inversion of Asphalt Mixture Based on Particle Swarm Optimization

Asphalt mixture is the construction material of asphalt pavement surface. Its thickness, compactness and asphalt content are the main indexes of pavement quality evaluation. The LR dielectric model is modified by experiments in this thesis. The modified dielectric model can represent the essential relationship between the composite dielectric properties of asphalt mixture and the three-phase volume ratio of aggregate, asphalt and air voids. Based on the finite-difference time-domain method, the particle swarm optimization (PSO) algorithm for inverse analysis of three-phase volume fraction (air voids, asphalt and aggregate volume fraction) of asphalt mixtures is established by taking the mean square error of actual received signal and analog forward signal as fitness function. Based on this method, the inverse analysis of three-phase asphalt volume fraction mixtures is realized. By comparing the theoretical waveform inversion results with the theoretical model, the feasibility of the algorithm for multi-parameter inversion was verified, and the accuracy of the algorithm was further verified by comparing the inversion results of field measured data with the results of core sampling.