Analysis of Measured and Theoretically Predicted Temperature Field in High-Temperature Asphalt Pavement during Daily Cycle
To accurately predict the temperature field in high-temperature asphalt pavement, this paper analyzed the daily variations in the temperature field within high-temperature asphalt pavement. Both the variation law of air temperature and solar radiation intensity were fitted with a double sine function and quasi-normal distribution function. Furthermore, an empirical prediction model was constructed to determine the pavement’s surface temperature. To carry out theoretical predictions and as the boundary conditions of the temperature field, the asphalt pavement was simplified into a single-layer or a double-layer flat plate structure. Based on the obtained results, the predictions of the model with an exact solution for the temperature field was analyzed. The maximum daily average absolute deviation between the predicted and measured data amounted to 1.24 ℃. These results indicate a high prediction accuracy.