Estimation of surface macrotexture in hot mix asphalt concrete pavements using laser texture data

Jay N. Meegoda, Geoffrey M. Rowe, Andris A. Jumikis, Chamil H. Hettiarachchi, Nishantha Bandara, Nicholas C. Gephart

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


This paper describes development of an automated technology to quantify surface segregation seen during construction of hot mix asphalt concrete pavements. Segregation manifested on the surface produces nonuniform surface macrotecture. A laser-based system was used for detection of nonuniform surface macrotexture caused by segregation. Two segregated test sections and a control test section were tested to evaluate the laser texture method. Laser texture data were gathered from three sites, and sand patch and nuclear density tests were performed at 25 ft (7.62 m) intervals along three sections. In addition to the above, visual surveys were performed to confirm the measurements. Based on the test results, it was found that the nuclear density test could not be used to detect surface segregation but it could be used as a confirmation test. Test results from the control section were used to establish a correlation between the sand patch tests and the laser texture data.

Original languageEnglish (US)
Pages (from-to)305-315
Number of pages11
JournalJournal of Testing and Evaluation
Issue number5
StatePublished - Sep 2005

All Science Journal Classification (ASJC) codes

  • General Materials Science
  • Mechanics of Materials
  • Mechanical Engineering


  • Air voids
  • Asphalt pavement
  • Laser texture data
  • Nuclear density
  • Sand patch
  • Segregation
  • Surface macrotexture


Dive into the research topics of 'Estimation of surface macrotexture in hot mix asphalt concrete pavements using laser texture data'. Together they form a unique fingerprint.

Cite this