259
Views
2
CrossRef citations to date
0
Altmetric
Research Articles

Analysis on influencing factors of asphalt pavement icing and establishment of icing prediction model

ORCID Icon, , , ORCID Icon, , & ORCID Icon show all
Pages 2959-2975 | Received 12 Jul 2022, Accepted 23 Feb 2023, Published online: 17 Mar 2023
 

Abstract

At present, the prediction of the icing occurrence for asphalt pavement will take a lot of time, and data are relatively discrete. In this study, the heat transfer equation of phase transition was deduced based on theory of heat transfer and ice–water phase transition, and icing prediction model of pavement was also established through finite element software. The results show that the icing time and rutting plate temperature of indoor experiment are close to simulated results, which verifies effectiveness of prediction model. On this basis, when other factors remain unchanged, the lower ambient temperature and higher the wind speed will accelerate speed of road icing, but the degree of speeding up speed of road icing will reduce. The reduction of depth of accumulated water can also accelerate speed of road icing, but the degree of speeding up speed of road icing first increases and then decreases.

Disclosure statement

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

Additional information

Funding

This study was supported by the National Natural Science Foundation of China under Grant 52008352/52278460 and Sichuan Applied Basic Research Project (2021YJ3270/2021YJ0533).

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.