Quality assurance of HMA pavement surface macrotexture: empirical models vs experimental approach

Surface macrotexture of hot mix asphalt (HMA) pavements has been considered a key quality characteristic to be measured after construction for acceptance purposes. This highlights the need of development quality assurance methods to be implemented in a smart and sustainable manner, namely before installation of HMA surface course. In light of the above, this paper evaluated two approaches. The first approach is based on empirical prediction models found in the literature and the study results demonstrated that, compared to others, the Goodman and co-workers’ model incorporating variables related to grading and volumetric properties of HMA predicts with an acceptable accuracy the pavement surface macrotexture. Hence, it offers the possibility to quantify and optimize the texture characteristics of HMA during the laboratory mix design process. However, this approach lacks the potential to evaluate the compaction mode, a construction-related factor which significantly influences the achieved texture depth in the field. The second approach is experimental and incorporates the fabrication of laboratory asphalt specimens using various compaction modes by means of the steel-segmented roller compactor and assessment of surface texture depth. This proposed approach was found to provide good estimates of the field texture depth based on a developed formulation expressing the relationship between the laboratory and field macrotexture. Further, this approach successfully ranked the efficiency of compaction modes in achieving satisfactory texture levels; thus, it can be considered a practical and useful tool with great potential for the quality assurance of HMA pavement construction.


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  • Accession Number: 01715929
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 31 2019 3:04PM