Title
DEM-based stress transmission in asphalt mixture skeleton filling system
Author
Xing, Chao (Harbin Institute of Technology)
Liu, Bo (Harbin Institute of Technology)
Sun, Zhiqi (Shijiazhuang Tiedao University)
Tan, Yiqiu (Harbin Institute of Technology)
Liu, X. (TU Delft Pavement Engineering)
Zhou, Changhong (Guilin University of Electronic Technology)
Date
2022
Abstract
Asphalt mixture is a skeleton filling system consisting of aggregate, asphalt, and mineral powder. High performance asphalt mixture design is directly affected by internal stress transmission of skeleton filling system. In this paper, the discrete element method based on digital image was employed to study the stress transmission. By analyzing the effect of skeleton structure on the contact force between aggregate and mortar, it is concluded that the skeleton aggregate in the asphalt mixture is the main stress transmission medium. The lower the degree of disruption, the higher the contact force of skeleton aggregate. At the same time, the variation coefficient of contact force of asphalt mortar with low filling coefficient is larger and the localization phenomenon is more serious. By analyzing the effect of mortar properties on the contact force between aggregate and mortar, it is concluded that the lower the modulus of asphalt mortar, the higher the degree of localization of contact force and the more likely to have local damage.
Subject
Asphalt mixtures
Contact force transmission
DEM
Mesostructure
Skeleton filling system
To reference this document use:
http://resolver.tudelft.nl/uuid:a6fec65d-b5ff-4a56-adca-431b4af37adb
DOI
https://doi.org/10.1016/j.conbuildmat.2022.128956
Embargo date
2023-07-01
ISSN
0950-0618
Source
Construction and Building Materials, 351
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
journal article
Rights
© 2022 Chao Xing, Bo Liu, Zhiqi Sun, Yiqiu Tan, X. Liu, Changhong Zhou