354
Views
5
CrossRef citations to date
0
Altmetric
Research Article

Asphalt mixture force chains morphological characteristics and bearing capacities investigation using discrete element method

ORCID Icon, , &
Article: 2168660 | Received 29 Jul 2022, Accepted 09 Jan 2023, Published online: 01 Feb 2023
 

ABSTRACT

Force chain morphological characteristics and bearing capacities can reflect the asphalt mixture’s skeleton external loading transfer behaviour. In this study, asphalt mixture discrete element models were established by the particle flow code in two dimensions (PFC2D) software. Force chains’ morphological characteristics and bearing capacities were evaluated by considering repetitive force chains (RFC). The results indicate that dense-graded asphalt concretes (AC) transfer external loading along the vertical direction, and force chains of stone mastic asphalt (SMA) and open-graded asphalt friction course (OGFC) have large expansion areas. AC-type asphalt mixtures form force chains easily with a shorter length and weak strength. Nominal maximum aggregate size (NMAS) has little influence on force chain alignment coefficient (FCAC) and force chain angle (FCA) distributions for AC, but it has stronger effects for SMA and OGFC. Whatever kinds of asphalt mixtures, with NMAS increase, the proportion of lower strength force chains will decrease gradually. The passing percentage of sieve size 2.36 mm (P2.36) needs to be limited within a certain range to ensure the asphalt mixture with the trapezoidal force chain shape for transferring the external loading better. For example, P2.36 needs to be restricted within 34% for AC16, and thresholds are 15% and 13% for SMA16 and OGFC16, respectively.

Acknowledgments

This study was supported by the Fundamental Research Funds for the Central Universities, CHD (300102212514).

Disclosure statement

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

Additional information

Funding

This work was supported by the Fundamental Research Funds for the Central Universities, CHD [grant number 300102212514].

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.