ABSTRACT
Development of fluorescent morphology makes microstructure evaluation of Polymer Modified Bitumen (PMB) become more accurate and scientific. However, it is still difficult to evaluate the pavement performance of PMB directly by fluorescent morphological images. In this study, PMB was prepared by traditional high-speed shearing emulsifying machine. And then, fluorescent observation samples were prepared using an improved method, pouring hot bitumen into metalwares at the same time with preparing pavement performance test samples. It can guarantee both sample primitiveness and data synchronism. Image capture factors and process methods were determined by morphology analysis. On the premise of these operations, reliable binary images could be gotten with good reproducibility and authenticity. Microscopic data describing the morphology characteristic were extracted from these images. Finally, by stepwise regression analysis, morphology parameters contributing greater to pavement performance of PMB were selected to express the microscopic mechanism of macro-performance in the form of linear equation. Results indicate that multiple linear equation can explain the influence of morphology parameters on pavement performances well according to their test mechanism. Besides, regression coefficients have definite physical significance.
