Analytical prediction and field validation of transient temperature field in asphalt pavements
来源期刊：中南大学学报(英文版)2015年第12期
论文作者：CHEN Jia-qi LI Liang WANG Hao
文章页码：4872 - 4881
Key words：asphalt pavement; transient temperature field; heat transfer; dimensional analysis; regression analysis; Green’s function
Abstract: This work presented the development and validation of an analytical method to predict the transient temperature field in the asphalt pavement. The governing equation for heat transfer was based on heat conduction radiation and convection. An innovative time-dependent function was proposed to predict the pavement surface temperature with solar radiation and air temperature using dimensional analysis in order to simplify the complex heat exchange on the pavement surface. The parameters for the time-dependent pavement surface temperature function were obtained through the regression analysis of field measurement data. Assuming that the initial pavement temperature distribution was linear and the influence of the base course materials on the temperature of the upper asphalt layers was negligible, a close-form analytical solution of the temperature in asphalt layers was derived using Green’s function. Finally, two numerical examples were presented to validate the model solutions with field temperature measurements. Analysis results show that the solution accuracy is in agreement with field data and the relative errors at a shallower depth are greater than those at a deeper one. Although the model is not sensitive to dramatic changes in climatic factors near the pavement surface, it is applicable for predicting pavement temperature field in cloudless days.
CHEN Jia-qi(陈嘉祺)1, 2, LI Liang(李亮)1, WANG Hao(汪浩)2
(1. School of Civil Engineering, Central South University, Changsha 410075 China;
2. Dept. of Civil and Environmental Engineering, Rutgers, The State University of New Jersey,
Piscataway, NJ 08854, USA)
Abstract:This work presented the development and validation of an analytical method to predict the transient temperature field in the asphalt pavement. The governing equation for heat transfer was based on heat conduction radiation and convection. An innovative time-dependent function was proposed to predict the pavement surface temperature with solar radiation and air temperature using dimensional analysis in order to simplify the complex heat exchange on the pavement surface. The parameters for the time-dependent pavement surface temperature function were obtained through the regression analysis of field measurement data. Assuming that the initial pavement temperature distribution was linear and the influence of the base course materials on the temperature of the upper asphalt layers was negligible, a close-form analytical solution of the temperature in asphalt layers was derived using Green’s function. Finally, two numerical examples were presented to validate the model solutions with field temperature measurements. Analysis results show that the solution accuracy is in agreement with field data and the relative errors at a shallower depth are greater than those at a deeper one. Although the model is not sensitive to dramatic changes in climatic factors near the pavement surface, it is applicable for predicting pavement temperature field in cloudless days.
Key words:asphalt pavement; transient temperature field; heat transfer; dimensional analysis; regression analysis; Green’s function
