Pavement engineers frequently need a rapid and accurate evaluation of layer thicknesses and conditions. Such an assessment is critical for evaluating current conditions and identifying optimal maintenance and rehabilitation needs. The objective of this study was to use remote sensing for assessing pavement thickness uniformity. For this purpose, the potential use of Ground-Penetrating Radar (GPR) data was considered. Traditional GPR data interpretation methods are generally not intended to quantify the spatial variability information required for pavement management-related analyses. Thus, the method presented herein is based on several layers of statistical assessment of pavement thickness changes for identifying homogeneous sections. The suggested approach provides consistent thickness assessment over consecutive pavement segment lengths. Such evaluation is particularly useful for integration into Pavement Management System (PMS) analyses at both the project and network levels. The approach was used in concrete pavements, and data from an in-service roadway are provided as an example to demonstrate how this analysis is applied. This analysis approach provides several benefits to highway agencies: a quick and accurate condition assessment regarding existing pavement thickness; better decision-making in identifying alternative maintenance and rehabilitation techniques for uniform sections with respect to thickness, which clearly need to be combined with condition assessment of pavement layer materials; and efficient use of remote sensing data for pavement sections where construction inventory data may not be available.
Goulias et al. (Mon,) studied this question.