Evaluation of different analysis approaches for Hamburg Wheel-Tracking testing (HWTT) data

The Hamburg Wheel-Tracking Test (HWTT) has remained a very robust method for characterizing asphalt mixtures due to its ability to simulate field loading conditions. Despite the popularity of the HWTT, there is no standardized step-by-step procedure for analyzing HWTT data according to AASHTO T 324. This has resulted in the proliferation of plausible approaches for analyzing HWTT data. This study identifies and investigates the merits and limitations of available HWTT analysis approaches. An online survey conducted shows that the Iowa DOT approach is the most popular methodology adopted for HWTT analysis. Moreover, other approaches like the Novel Three-Parameter approach, Combined Franken-Power approach, Third-Order Curvature approach, and some other algorithm-based approaches are shown to be useful in accurately analyzing HWTT data. Based on the evaluated analysis methods, recommendations are made to eliminate subjectivity, reduce variability in HWTT results, and obtain result parameters that can effectively discriminate between asphalt mixtures.

Language

  • English

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  • Accession Number: 01768040
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Feb 20 2021 2:21AM