Technical Papers
Jun 24, 2023

Effective Load Transfer Capacity Analysis for Asphalt Mixture Skeleton Based on Main Force Chain Characteristics and Discrete Element Method

Publication: Journal of Materials in Civil Engineering
Volume 35, Issue 9

Abstract

To clarify the effective load transfer capacity of asphalt mixture skeletons, granular material mechanics and the discrete-element method (DEM) were introduced to analyze the morphological characteristics of skeleton main force chains (MFCs). Results indicate that the greater number of MFCs is not relevant to higher effective transfer load capacity for the skeleton. An increase in the relative ratio of the III type of force chain in MFC is not conducive to transferring external loading effectively. The MFC number gradually decreases with an increase in nominal maximum aggregate size (NMAS), and the proportion of MFC increases for dense-graded asphalt concrete (AC). For stone matrix asphalt (SMA), the increase of NMAS will reduce the quasilinearity of MFC and be conducive to forming longer MFC, especially for the I type of force chain. An increase of content with aggregate size less than 2.36 mm can improve the number ratio of the III type of force chain. Therefore, an increase in the passing rate of 2.36 mm (P2.36) is not conducive to transferring external loading for AC.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions.

Acknowledgments

This study was supported by the Fundamental Research Funds for the Central Universities (2022QN1020) and the National Natural Science Foundation of China (52208448). The authors gratefully acknowledge their financial support.

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Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 35Issue 9September 2023

History

Received: Nov 15, 2022
Accepted: Feb 10, 2023
Published online: Jun 24, 2023
Published in print: Sep 1, 2023
Discussion open until: Nov 24, 2023

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Authors

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Guoqiang Liu [email protected]
Lecturer, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology, Xuzhou, Jiangsu 221116, China (corresponding author). Email: [email protected]
Postgraduate Student, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology, Xuzhou, Jiangsu 221116, China. Email: [email protected]
Ph.D. Candidate, School of Highway, Chang’an Univ., Xi’an 710064, China. Email: [email protected]
Associate Professor, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology, Xuzhou, Jiangsu 221116, China. Email: [email protected]
Assistant Research Fellow, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology, Xuzhou, Jiangsu 221116, China. Email: [email protected]

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