493
Views
4
CrossRef citations to date
0
Altmetric
Articles

Comprehensive performance evaluation of steel fiber-reinforced asphalt mixture for induction heating

, , , &
Pages 3838-3849 | Received 13 Oct 2020, Accepted 23 Apr 2021, Published online: 04 Jun 2021
 

ABSTRACT

As a high-efficiency non-contact heating technology, induction heating has shown great application prospect in melting snow and de-icing of asphalt pavement and induced self-healing of damage of asphalt mixture. In this research, 4 lengths of steel fiber and three fiber contents were adopted. The effect of different lengths and contents of steel fiber on the performances, including optimum asphalt content, high-temperature rutting resistance, low-temperature cracking resistance, freeze–thaw cycles resistance and thermal conductivity (TC), of asphalt mixture were studied in detail. Moreover, the induction heating rates (HRs) of asphalt mixture with different lengths and contents have also been investigated. Finally, the overall performances of asphalt mixture with different lengths of fiber were compared and analysed based on the radar chart method. The results show that when the length is 7 mm and the content is 4% of steel fiber, the optimum asphalt content, TC and HR of asphalt mixture were significantly improved. When the length is 5 mm and the content is 4% of steel fiber, the high-temperature rutting resistance, low-temperature cracking resistance and freeze–thaw cycles resistance were also significantly improved. The radar chart shows that the overall performances of asphalt mixture with 5 mm steel fiber are the best one.

Acknowledgements

The authors thank the Chang’an university for providing materials and friendly environment to conduct this research study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

Data generated or analysed during the study are available from the corresponding author by request. Information about the Journal’s data-sharing policy can be found here: https://authorservices.taylorandfrancis.com/data-sharing-policies/repositories/.

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.