The contribution of micro- and macro-texture to the skid resistance of flexible pavement.

Details

• Alternative Title:
  Effect of aggregate micro- and macro-texture on pavement skid resistance.
• Creators:
  Serigos, Pedro A. ; Buddhavarapu, Prasad ; Gorman, Grant M. ; Hong, Feng ; Prozzi, Jorge Alberto
• Corporate Creators:
  University of Texas at Austin. Center for Transportation Research
• Corporate Contributors:
  Southwest Region University Transportation Center (U.S.) ; Texas A&M Transportation Institute ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Data analysis
  • Flexible pavements
  • Macrotexture
  • Measuring methods
  • Microtexture
  • Skid resistance
  • Surface course (Pavements)
  • Texture
  • Highways
  • Pavements
  More +
• Publication/ Report Number:
  SWUTC/16/600451-00085-1 ; 600451-00085-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final report
• Corporate Publisher:
  University of Texas at Austin. Center for Transportation Research
• Abstract:
  Skid resistance is an important characteristic of the pavement surface to reduce the number of road accidents. The ; mechanisms involved in the activation of the frictional force required for a safe braking of the vehicle depend on both ; the macro- and the micro-texture of the pavement surface. The state-of-the-practice methodologies commonly used for ; measuring pavement texture at highway speeds only account for the macro-texture, which alone might not be sufficient ; to effectively characterize skid resistance. This study explored different ways to characterize the micro-texture of ; pavement surfaces with the main objective of quantifying the effect of accounting for both the micro and the macro ; components of the texture, rather than just the macro-texture, on the prediction of skid resistance. ; The friction and texture data analyzed in this study were collected from an experiment conducted on in-service flexible ; pavement surfaces. Surface friction was measured using a British Pendulum Tester whereas texture data was collected ; using a Circular Track Meter and a Laser Texture Scanner. The surface micro-texture was characterized by different ; texture parameters calculated in both the spectral and the spatial domain. The impact of incorporating the micro-texture ; on the prediction of skid resistance was evaluated by analyzing a series of models specified by each of the proposed ; parameters. The results of the analyses show a significant improvement in predicting the surface friction when ; accounting for both components of the surface texture, as opposed to only the macro-texture. Furthermore, the ; parameters calculated on the frequency domain led to a better prediction power.
  More +
• Format:
  PDF
• Funding:
  DTRT12-G-UTC06
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/31449/dot_31449_DS1.pdf
• File Type:
  [PDF - 1.62 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:6aea270fc09dae40324b15dd81c113f3317d273c24ffff19f3ceac12cfe89e44