Improving the accuracy of pavement structural quality assessment by correcting numerical hypothetical model of modulus Back-Calculation through GPR

This study shows a pavement structural quality assessment method combined with Ground Penetrating Radar (GPR) and Falling Weight Deflectometer (FWD). Through the detection results of GPR on the internal structure of pavement, the authors corrected the thickness, initial modulus range, and Poisson’s s ratio of the numerical hypothetical model in modulus back-calculation. The authors observed that the corrected numerical hypothetical model had significantly improved the accuracy of modulus back-calculation results. At the same time, the authors also compared the influence degree of the change in each structural parameter on the modulus back-calculation results. In addition, the authors used 3D-Move Analysis to analyze the stress and strain state of each structural layer of the pavement under various structural parameter combinations. The results show that the correction of structural parameters based on the GPR detection results of each structural layer significantly improved the accuracy of the modulus back-calculation results. At the same time, the accuracy of stress and strain calculation results of each structural layer was indirectly improved. It is suggested to implement this method for pavement structure quality assessment.

Language

  • English

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Filing Info

  • Accession Number: 01845657
  • Record Type: Publication
  • Files: TRIS
  • Created Date: May 19 2022 10:40AM