276
Views
24
CrossRef citations to date
0
Altmetric
Original Articles

Texture analysis of aggregates for wearing courses in asphalt pavements

&
Pages 45-54 | Received 29 Jul 2005, Accepted 01 Jun 2006, Published online: 30 Jan 2007
 

Abstract

It is well known that the wear of road pavement skid resistance is associated with a change in the geometrical characteristics of the micro- or macro-texture of aggregates of pavement surface. So, a study of the relationship between texture and skid resistance, to find suitable correlations, is of interest for research in road pavement materials.

In this work the relationship between adherence and aggregate texture is analyzed, using superficial geometrical profiles, by means of both aggregate descriptors and the power spectral density function (PSD).

In particular, a methodology for a surface texture analysis of aggregates for pavement wearing courses is presented which demonstrates the support given by both micro- and macro-texture, resulting in some indicators that can be related to pavement adherence. The results are, also, useful in order to explain the basic physic phenomenon between friction and the surface profile proprieties of aggregates.

For research purposes, a procedure was established for the preparation and analysis of aggregates in order to carry out a survey of their geometrical profiles using laboratory samples which underwent an accelerated polishing control test (CLA).

Acknowledgements

The author acknowledge S. Calabrò and M. C. Coppoletta for the contribution furnished during laboratory tests; G. Boscaino and R. Vaiana from the Transport infrastructures Department of Palermo University, for the support during the profile measures.

Notes

Additional information

Notes on contributors

Sabina Taormina

† † [email protected]

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 225.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.