Analysis of Pavement Response Data and Use of Nondestructive Testing for Improving Pavement Design and Adoption of Mechanistic-empirical Pavement Design Procedure Using the Gilford Route 15 Instrumented Pavement Test Section
Author: Rajib Basu Mallick
Publisher:
Published: 2006
Total Pages: 28
ISBN-13:
DOWNLOAD EBOOKThe first fully instrumented flexible pavement test section in Maine was constructed in Fall, 2005. This paper presents the description of the instruments, their installation, and analysis of temperature and stress-strain data collected so far. Temperature data was collected for a period of five months, and stress strain data were collected by running a Maine Department of Transportation truck at different speeds. The temperature data at two depths in the Hot Mix Asphalt layer were analyzed to develop models to predict these temperatures on the basis of ambient temperature and solar radiation. The haversine equation was found to be suitable for modeling the strain response in HMA layers, whereas slight variations were used for modeling the responses in the subbase and subgrade layers. The effect of speed on time of loading was evaluated and models were developed. The hot mix asphalt tensile strains were found to be affected significantly by the time of loading as well as temperature, and the measured strains matched well with the predicted strains at lower time of loading and lower temperatures. Stresses from the subbase were greater than predicted values. The subbase strains matched very well with the predicted ones. especially at lower temperature and lower time of loading. The measured subgrade stresses were greater than the predicted stress values. For subgrade strain, the predicted values were found to be consistently lower compared to the measured values. For both stresses and strains in the subgrade, the difference was higher for the higher time of loading and higher temperature. Future work includes using an automated system with a weigh in motion sensor to collect data over the internet and evaluating the effect of environmental conditions on response at different layers.