Pavements - GPR (Asphalt Thickness Assessment)

Target of Investigation

Ground penetrating radar (GPR) can be used for measurement of the thicknesses of asphalt surface course.  

Description 

GPR testing is a widely used nondestructive evaluation technique for assessing asphalt pavements. Two types of GPR systems are available: air coupled (figure 1) and ground coupled (figure 2). 

© 2013 TRB. 
Figure 1. Photo. Air-coupled GPR system mounted on a vehicle.(3) 
© 2013 TRB. 
Figure 2. Photo. Data collection with a ground-coupled GPR system.(2) 

Air-Coupled GPR 

Air-coupled antennas are noncontact systems (i.e., they do not touch the surface during surveying). Air-coupled GPR systems are usually faster than ground-coupled systems; generally, they are used as a scanning tool to indicate locations where indepth testing with other systems (including groundcoupled GPR) is needed.(4)  

Ground-Coupled GPR 

Ground-coupled antennas, unlike air-coupled systems, must remain in contact with the surface while surveying. GPR signals are reflected at layer interfaces (including objects and defects) where different dielectric constants exist within the asphalt pavements. The collected data are processed and analyzed to measure the thickness of the asphalt pavement. 

Physical Principal

GPR operates by sending discrete electromagnetic wave pulses (with a frequency range of  
100–5,000 MHz) into a pavement and then capturing the reflections from layer interfaces or other reflectors within the pavement. Radar obeys the laws governing reflection and transmission of electromagnetic waves and is affected by the dielectric properties of the material: conductivity and the dielectric constant.(1) At each interface, part of the incident energy will be reflected back, and part will be transmitted beyond the interface. The ratio of reflected to transmitted energy depends on the contrast in dielectric properties of the materials on either side of the interface. 

Air-Coupled GPR 

As shown in figure 3, the largest peak of air-coupled GPR is the reflection from the pavement surface. The amplitudes before the direct couple are internally generated noise, and they should be removed from the trace prior to signal processing. Reflections that occur after the surface echo represent significant interfaces within the pavement, and the measured travel time is related to the depth of the layer. These reflections could be used to estimate the thickness of different layers of the pavement. Figure 4 is an equation to calculate layer thickness.  

Source: FHWA. 
A. GPR propagation and reflection. 
Source: FHWA. 
B. Multiple GPR A-scans. 
Figure 3. Illustrations. Principle of air-coupled GPR for measuring pavement thickness.(5) 

Figure 4. Equation. Calculation of layer thickness. 

Where: 

h1 = thickness of a layer. 

c = speed of the radar wave in air. 

Δt1 = time delay between two adjacent peaks. 

εa = dielectric of the pavement surface. 

Ground-Coupled GPR 

The physical principles of ground-coupled GPR systems are similar to those for air-coupled GPR systems. Although slow compared to air-coupled systems, ground-coupled systems provide better depth penetration and a higher amount of readings. Thus, ground-coupled systems are better suited for indepth data collection and defining subsurface interfaces. A GPR signal attenuates as it travels in a pavement. Signal attenuation depends on geometric attenuation, signal scattering, reflections, and thermal losses. Two-way travel time and reflection amplitudes are recorded with a receiver antenna. When measurements are made over sequential survey points, they can be viewed as a GPR B-scan or profile (figure 5). The thickness of a layer within the pavement can be calculated with the equation in figure 4.  

Source: FHWA. 
1 ft = 0.3 m. 
Figure 5. Graph. Example GPR B-scan. 

Data Acquisition 

Manufacturers of GPR (air and ground coupled) recommend following their system-specific testing procedures when collecting data. These procedures are available in the user manuals supplied by manufacturers. 

Data Processing  

Data processing should be performed by personnel with extensive training and experience. Data processing can be done using analysis software. Preprocessing, which does not change the signal content of the original data, includes data channel splitting, data scaling, data reversing, and zero-level correction. Processing operations consist mainly of filtering operations and amplitude and dielectric value calculations. The primary objective of processing is to make GPR data more informative and easy to interpret. Figure 6 shows raw, preprocessed, and processed data. Software can be used to “pick” individual objects for analysis and to calculate the thickness of layers using the two-way travel time.   

© 2014 TRB. 
A. Raw GPR data. 
© 2014 TRB. 
B. Preprocessed GPR data. 
© 2014 TRB. 
C. Processed GPR data.  
Figure 6. Screenshots. Raw, preprocessed, and processed GPR data.(4) 

Data Interpretation

Data interpretation should be performed by personnel with extensive training and experience. Figure 7 shows an example of asphalt pavement scans measured with ground-coupled GPR. The asphalt thickness can be estimated from the B-scan. 

© 2013 TRB. 
1 m = 3.3 ft. 
Figure 7. Graph. GPR scans showing subbase layer thickness in a pavement.(2) 

Advantages 

Advantages of GPR include the following: 

  • Well-established field data collection processes. 
  • Rapid test methods. 
  • Reliable and repeatable results. 

Limitations

Limitations of GPR include the following: 

  • Extensive training and experience are required for operation, data processing, and data interpretation. 
  • External electromagnetic radiation (from cell phone, radio, and television antennas) can cause signal degradation. 

References

  1. Gucunski, N., Imani, A., Romero, F., Nazarian, S., Yuan, D., Wiggenhauser, H., Shokouhi, P., Taffee, A., and Kutrubes, D. (2013). Nondestructive Testing to Identify Concrete Bridge Deck Deterioration, Report No. S2-R06A-RR-1, Transportation Research Board, Washington, DC. 
  2. Heitzman, M., Maser, K., Tran, N.H., Brown, T., Bell, H., Holland, S., Ceylan, H., Belli, K., and Hiltunen, D. (2013). Nondestructive Testing to Identify Delaminations Between HMA Layers, Report No. S2-R06D-RR-1, Transportation Research Board, Washington, DC. 
  3. Sebesta, S., Scullion, T., and Saarenketo, T. (2013). Using Infrared and High-Speed GroundPenetrating Radar for Uniformity Measurements on New HMA Layers, Report No. S2-R06C-RR-1, Transportation Research Board, Washington, DC. 
  4. Wimsatt, A., White, J., Leung, C., Scullion, T., Hurlebaus, S., Zollinger, D., Grasley, Z., et al. (2014). Mapping Voids, Debonding, Delaminations, Moisture, and Other Defects Behind or Within Tunnel Linings, Report No. S2-R06G-RR-1, Transportation Research Board, Washington, DC. 
  5. Arnold, J.A., Gibson, D.R.P., Mills, M.K., Scott, M., and Youtcheff, J. (2011). “Using GPR to Unearth Sensor Malfunctions.” Public Roads74(4), Federal Highway Administration, Washington, DC.