Determining asphalt thickness using ground penetrating radar: a comparison of automated and manual methods using falling weight deflectometer back-calculation error correction

The objective of this work was to evaluate and enhance the accuracy of GPR-based pavement thickness evaluations. GPR (Ground Penetrating Radar) data were analyzed to determine asphalt thickness using both a traditional processing method with a trained interpreter, and by automated processing requiring limited operator interaction. It was found that the use of automated GPR processing significantly decreases the amount of time and the expertise needed to analyze the pavement structure, while providing acceptable accuracy in the estimation of pavement thickness. Since incorrect layer identification is a source of GPR analysis error, results of Falling Weight Deflectometer (FWD) back-calculations were used where the layer identification was suspect, and to suggest alternative layer selections. The manual and automated processing techniques were applied to field GPR data collected from 130 FWD test locations at 26 pavement sites throughout Montana. Implementation of the error detection and correction procedure reduced the deviation between GPR and core data by over 30% for both manual and automated methods. Based on data from 130 cores, the average deviation between GPR data and core data was found to be 6.2% (0.32 inches) for the manual method vs. 7.6% (0.42 inches) for the automated method.


  • English

Media Info

  • Pagination: pp 199-208
  • Monograph Title: Bearing capacity of roads, railways and airfields: proceedings of the ninth International Conference on the Bearing Capacity of Roads, Railways and Airfields: Trondheim, Norway 25-27 June 2013. Vol 1-2

Subject/Index Terms

Filing Info

  • Accession Number: 01596517
  • Record Type: Publication
  • Source Agency: Swedish National Road and Transport Research Institute (VTI)
  • ISBN: 9788232102853
  • Files: ITRD, VTI
  • Created Date: Apr 21 2016 12:22PM