949
Views
40
CrossRef citations to date
0
Altmetric
State of the Art

State-of-art carbon and graphene family nanomaterials for asphalt modification

&
Pages 735-756 | Received 21 Dec 2018, Accepted 07 Jul 2019, Published online: 19 Jul 2019
 

Abstract

Carbon and graphene family nanomaterials have attracted more attentions and interests in the asphalt modification research due to their superior mechanical properties. This paper provides the state-of-art review of various graphene synthesis methods (chemical vapour deposition, exfoliation, thermal decomposition, unzipping, and reduction of graphite oxide) and recent studies on typical carbon and graphene family nanomaterials (nanoplatelets and graphene oxide) and carbon nanotube used for asphalt modification towards road engineering application. The effect of each nanomaterial on the asphalt binder is explored with respect to the rutting resistance (high-temperature property), fatigue cracking resistance (intermediate temperature property), and thermal cracking resistance (low-temperature property), respectively. Additionally, various blending methods for dispersing nanomaterials into the asphalt and the cost-effectiveness of each graphene family material are discussed.

Acknowledgements

The authors would like to thank Faculty Development Council Grant Program, University of South Alabama to sponsor this study.

Disclosure statement

No potential conflict of interest was reported by the authors.

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 204.00 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.