This synthesis will be of interest to state Department of Transportation (DOT) geotechnical, bridge, and pavement engineers, engineering geologists, consultants involved with ground penetrating radar (GPR) investigations for state DOTs, and researchers. It describes the current state of the practice of using GPR for evaluating subsurface conditions for transportation facilities. This was accomplished by conducting a literature search and review and an extensive survey of U.S. and Canadian transportation agencies and practitioners, as well as limited international information collection. GPR is a noninvasive nondestructive tool used in transportation applications such as evaluation and characterization of pavement systems, soils, and environmental problems. This report of the Transportation Research Board presents information on the principles, equipment, logistics, applications, and limitations of GPR pertaining to transportation applications. Selected case studies for which ground truth information is available are presented. In addition, an extensive bibliography and glossary are provided as well as appending information about GPR manufacturers from their literature.

"Ground penetrating radar (GPR) is a non-destructive electromagnetic geophysical tool that can be used to map continuous spans of the subsurface...This dissertation demonstrates that the GPR can be used as a mapping tool for evaluation of strata at limestone and dolomite mines, and the knowledge obtained by this tool could improve safety of mines and people who work there...Along with the evaluation of the GPR technique for mapping the rock strata, this project examines effectiveness of resistivity and reflection seismic techniques for detection of abandoned mine workings, buried objects, depth to bedrock, etc."--Abstract, leaf iii.

Subsurface drainage features are routinely incorporated in the design of pavement systems as they are believed to increase pavement service life provided that they are installed correctly and maintained. Maintenance, however, is challenging in that location and subsequent inspection of these systems can be time consuming and laborious. With this in mind, some departments of transportation have turned to ground penetrating radar as one means to rapidly locate subsurface drainage features in pavements and thus alleviate some of the cost and complexity of maintaining these systems, but with mixed results.In this context, this study pursued a two-pronged approach to improve GPR-based location of sub-pavement drainage systems, involving: (1) software-based signal processing and (2) modifications of hardware test configurations. From a signal processing perspective, two complementary signal processing approaches were developed in this work. Method 1 involved algorithms that are designed to reduce GPR signal background clutter and noise by taking advantage of the somewhat uniform nature of the strata underlying constructed pavements and to systematically remove anomalous signals. Method 2 focused on enhancing 2-D image quality to facilitate recognition of hyperbolic signal returns indicative of drain detection. From a hardware perspective, field experiments were also carried out in this work to validate the signal processing algorithms and assess the potential for alternative antenna configurations to enhance detection success. Five different antenna configurations were tested in total. When employed in field settings, the signal processing algorithms demonstrated an ability to routinely detect X-drains (shallow depth, PVC) with 2-3 false alarms per successful detection. Similarly, all known K-drains (moderate depth, metal/clay) in the studied field test regions were successfully identified, although each successful K-drain detection was accompanied by a significant number of potential false alarms. Beyond these signal conditioning related findings, additional recommendations for field deployed GPR survey line selection, antennae configuration, and frequency selection are also provided.

GPR Remote Sensing in Archaeology provides a complete description of the processes needed to take raw GPR data all the way to the construction of subsurface images. The book provides an introduction to the “theory” of GPR by using a simulator that shows how radar profiles across simple model structures look and provides many examples so that the complexity of radar signatures can be understood. It continues with a review of the necessary radargram signal processes needed along with examples. The most comprehensive methodology to construct subsurface images from either coarsely spaced data using interpolation or from dense data from multi-channel equipment and 3D volume generation is presented, advanced imaging solutions such as overlay analysis are introduced, and numerous worldwide site case histories are shown. The authors present their studies in a way that most technical and non-technical users of the equipment will find essentials for implementing in their own subsurface investigations.

This book, based on Transport and Urban Development COST Action TU1208, presents the most advanced applications of ground penetrating radar (GPR) in a civil engineering context, with documentation of instrumentation, methods and results. It explains clearly how GPR can be employed for the surveying of critical transport infrastructure, such as roads, pavements, bridges and tunnels and for the sensing and mapping of underground utilities and voids. Detailed attention is also devoted to use of GPR in the inspection of geological structures and of construction materials and structures, including reinforced concrete, steel reinforcing bars and pre/post-tensioned stressing ducts. Advanced methods for solution of electromagnetic scattering problems and new data processing techniques are also presented. Readers will come to appreciate that GPR is a safe, advanced, non destructive and noninvasive imaging technique that can be effectively used for the inspection of composite structures and the performance of diagnostics relevant to the entire life cycle of civil engineering works.