381
Views
4
CrossRef citations to date
0
Altmetric
Research Article

Analysis of fatigue behaviors of asphalt mixture under actual loading waveforms using pseudo-strain-based approaches

, , &
Article: 2020269 | Received 06 Aug 2021, Accepted 13 Dec 2021, Published online: 13 Jan 2022
 

ABSTRACT

This research analyzes the fatigue behaviours of asphalt mixture under haversine wave and two more realistic loading waveforms induced by the single axle and tandem axles, based on the pseudo-strain-based approaches. It is found that the fatigue lives of asphalt mixture under the single-axle wave are higher than those under the haversine wave, while the tandem–axle wave generates the lowest fatigue life. This fact suggests testing asphalt mixture using the actual loading waves occurring in the field to improve fatigue life prediction of the asphalt layer. Three PSE-related indicators, namely initial dissipated PSE, cumulative dissipated PSE and the average changing rate of PSE per cycle, all generate a unique linear relationship with the mixture's fatigue life on the log–log scale. The linear relationship is independent of strain level and loading waveform. The damage characteristic curves of asphalt mixture obtained from the VECD approach are independent of strain level but affected by loading waveform. One of VECD-related indicators named DR stays stable as the loading wave or strain level changes, while another indicator named Sapp changes considerably at different waves and strain levels. The latter indicator shows the high potential to predict the asphalt mixture’s fatigue life.

Disclosure statement

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

Additional information

Funding

&This work was supported by National Natural Science Foundation of China: [Grant Number 5210081231]; Postdoctoral Science Foundation China: [Grant Number BX2021216 & 2021M702479]; Research Grants Council, University Grants Committee: [Grant Number 15208518]; Research Grants Council, University Grants Committee: [Grant Number 152568/16E]; Shanghai Municipal Education Commission: [Grant Number 2019-01-07-00-07-E00025].

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.