Assessing Asphalt and Concrete Pavement Surface Texture in the Field

Authors

  • Saad I. Sarsam, Prof. College of Engineering-University of Baghdad
  • Huda N. Al Shareef, MSc student College of Engineering-University of Baghdad

DOI:

https://doi.org/10.31026/j.eng.2016.05.03

Keywords:

texture, pavement, surface condition, testing, modeling.

Abstract

The incorporation of safety characteristics into the traditional pavement structural design or in the functional evaluation of pavement condition has not been established yet. The design has focused on the structural capacity of the roadway so that the pavement can withstand specific level of repetitive loading over the design life. On the other hand, the surface texture condition was neither included in the AASHTO design procedure nor in the present serviceability index measurements.

The pavement surface course should provide adequate levels of friction and ride quality and maintain low levels of noise and roughness. Many transportation departments perform routine skid resistant testing, the type of equipment used for testing varies depending on the preference of each transportation department. It was felt that modeling of the surface texture condition using different methods of testing may assist in solving such problem. In this work, Macro texture and Micro texture of asphalt and cement concrete pavement surface have been investigated in the field using four different methods (The Sand Patch Method, Outflow Time Method, British Pendulum Tester and Photogrammetry Technique). Two different grain sizes of sand have been utilized in conducting the Sand Patch while the Micro texture was investigated using the British Pendulum tester method at wet pavement surface conditions. The test results of the four methods were correlated to the skid number. It was concluded that such modeling could provide instant data in the field for pavement condition which may help in pavement maintenance management.

 

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How to Cite

“Assessing Asphalt and Concrete Pavement Surface Texture in the Field” (2016) Journal of Engineering, 22(5), pp. 29–41. doi:10.31026/j.eng.2016.05.03.

Publication Dates

Published

2016-05-01

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