Next Article in Journal
Protection of Low-Strength Shallow-Founded Buildings Around Deep Excavation: A Case Study in the Yangtze River Soft Soil Area
Previous Article in Journal
Research on a Two-Dimensional Cloud Model-Based Credit Risk Assessment Framework for Construction Contractors
Previous Article in Special Issue
Evaluation of Regeneration Effects of Different Rejuvenators on Aged Asphalt
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Investigation into the Evolution of Main Force Chains and Skeleton Composition in Asphalt Mixture Using the Discrete Element Method

School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
*
Author to whom correspondence should be addressed.
Buildings 2025, 15(22), 4092; https://doi.org/10.3390/buildings15224092 (registering DOI)
Submission received: 14 October 2025 / Revised: 7 November 2025 / Accepted: 10 November 2025 / Published: 13 November 2025
(This article belongs to the Special Issue Mechanical Properties of Asphalt and Asphalt Mixtures: 2nd Edition)

Abstract

To clarify the load transfer mechanism of the asphalt mixture skeleton, the discrete element method simulation analysis was conducted to investigate the evolution of the morphological characteristics of the main force chain (MFC) and the mechanical composition of the skeleton. Results indicate that AC-type asphalt mixtures form a greater number of force chains compared with SMA- and OGFC-type asphalt mixtures. Although AC-type asphalt mixtures exhibit more MFC, both SMA and OGFC have a higher proportion of MFC (PMFC) throughout the loading process, which is beneficial to transfer external loading effectively. In AC-type asphalt mixtures, the skeleton undergoes reorganization during the initial loading stage, especially in the case of small NMAS. This makes it easy to form MFC with a longer length, some of which exhibit a relatively low alignment coefficient. Consequently, the MFC network of AC is more complex and less efficient for transferring external loading compared with SMA and OGFC. For all asphalt mixtures, the MFC structure evolves in a manner that facilitates load transfer. For skeleton mechanical composition, aggregate within 1.18~2.36 mm is mainly used to fill the void space of the skeleton and has a small amount of participation in the formation of the skeleton. Aggregates within 2.36~9.5 mm mainly participate in the skeleton composition and make a small contribution to filling the void of the skeleton. Aggregates larger than 9.5 mm are fully incorporated into the skeleton composition.
Keywords: asphalt mixture; main force chain (MFC); evolution behavior; skeleton composition; discrete element method asphalt mixture; main force chain (MFC); evolution behavior; skeleton composition; discrete element method

Share and Cite

MDPI and ACS Style

Li, K.; Liu, G.; Yang, C.; Liu, Y. Investigation into the Evolution of Main Force Chains and Skeleton Composition in Asphalt Mixture Using the Discrete Element Method. Buildings 2025, 15, 4092. https://doi.org/10.3390/buildings15224092

AMA Style

Li K, Liu G, Yang C, Liu Y. Investigation into the Evolution of Main Force Chains and Skeleton Composition in Asphalt Mixture Using the Discrete Element Method. Buildings. 2025; 15(22):4092. https://doi.org/10.3390/buildings15224092

Chicago/Turabian Style

Li, Kun, Guoqiang Liu, Chuanyu Yang, and Yongqi Liu. 2025. "Investigation into the Evolution of Main Force Chains and Skeleton Composition in Asphalt Mixture Using the Discrete Element Method" Buildings 15, no. 22: 4092. https://doi.org/10.3390/buildings15224092

APA Style

Li, K., Liu, G., Yang, C., & Liu, Y. (2025). Investigation into the Evolution of Main Force Chains and Skeleton Composition in Asphalt Mixture Using the Discrete Element Method. Buildings, 15(22), 4092. https://doi.org/10.3390/buildings15224092

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop