Feature and Fitting of RIOHTrack Pavement Temperature-Variation Curve

Abstract

We analyze herein the characteristics of pavement temperature based on pavement- and atmosphere-temperature data collected from the environment-information data-acquisition system of the first full-scale test track, i.e., RIOHTrack, in China. The general rules of seasonal change and diurnal variation of RIOHTrack pavement temperature are examined for the first time. The fitting method of pavement-temperature diurnal-variation curve and pavement-temperature-variation curve with depth is studied. Considering the two dimensions of time and depth, the time- and depth-function models of pavement temperature are established, respectively. The fitting results of the measured data show that the established time-function model has high fitting accuracy for the diurnal temperature-variation curve of the pavement structure and can well fit the characteristics of asymmetric wave of the temperature curve. The depth-function model has high fitting accuracy to the change curve of pavement-structure temperature with depth and can well reflect the change law of pavement-structure temperature with depth. The analysis results and the established model can serve as a reference for the further study of pavement-temperature field and the evaluation of pavement performance.