316
Views
9
CrossRef citations to date
0
Altmetric
Articles

Mechanical behaviour of surface layer fibreglass-reinforced flexible pavements

, &
Pages 95-109 | Received 31 Aug 2012, Accepted 22 Jul 2013, Published online: 19 Aug 2013
 

Abstract

The work presented in this paper aims at providing a better understanding of the mechanical response of surface layer fibreglass-reinforced flexible pavements. The surface reinforcement technique consists of installing a fibreglass grid in between the levelling layer (placed on the base course to seal and level the pre-existing distresses) and the wearing course (or overlay). Flexural fracture tests were performed on two-layered reinforced asphalt specimens composed of both levelling and wearing courses to simulate a real overlay structure. Three fibreglass grids characterised by different mechanical and/or geometrical properties were employed. Strain localisation and damage distribution were investigated using an in-house digital image correlation system capable of achieving highly accurate 2D full-field strain maps of the specimens during loading. Finally, an analytical model was developed on purpose to reproduce the mechanical response of the asphalt mixture-interlayer system.

Acknowledgements

The authors would like to thank Saint Gobain for financial support. The authors are also grateful to Dr Fabio Capanelli of the Valli Zabban Company and Antonio Varoli of the SIP company for providing asphalt materials.

Notes

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.