A simple prediction model for asphalt surface texture incorporating mix gradation and air voids

Paul J. Vardanega*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

2 Citations (Scopus)

Abstract

This paper presents the results of a preliminary study that seeks to show how asphalt grading and air voids are related to the texture depth of asphalt. The fiftieth percentile particle size (D(50)) is shown to be a good predictor of texture depth measurements from a collected database of field and laboratory studies. The D(50) is used to normalise collected texture data and this 'relative texture' is shown to correlate with air voids. Regression analyses confirm that air voids should be included along with a measure of gradation in the interpretation of asphalt surface texture. The derived formulae are used to develop correlation charts.

Original languageEnglish
Pages (from-to)14-32
Number of pages19
JournalRoad and Transport Research
Volume20
Issue number3
Publication statusPublished - Sep 2011

Keywords

  • MACROTEXTURE

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