2020
DOI: 10.1016/j.conbuildmat.2019.117695
|View full text |Cite
|
Sign up to set email alerts
|

Application of flat-joint contact model for uniaxial compression simulation of large stone porous asphalt Mixes

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 19 publications
(4 citation statements)
references
References 24 publications
0
4
0
Order By: Relevance
“…Ge et al [97] built the 3D DEM model of a trapezoidal specimen for the asphalt mixture in the two-point bending test based on the 3D aggregate morphological characteristics obtained using laser scanning, and then numerically evaluated the complex modulus utilizing the contact dynamic s method. Yuan et al [98] built a 3D DEM model in uniaxial compression loading for a large stone porous asphalt mixture based on the rebuilt irregular aggregate particles using CT technology, while contact characteristics such as coordination number, contact point, and energy were obtained based on the flat-joint contact model, and the compressive strength was also discussed. Ji et al [99] evaluated the rutting behavior of the asphalt mixture modified by Direct Coal Liquefaction Residue (DCLR) using a 2D FEM modeling.…”
Section: Mechanical Behaviors Evaluation On the Asphalt Mixturementioning
confidence: 99%
“…Ge et al [97] built the 3D DEM model of a trapezoidal specimen for the asphalt mixture in the two-point bending test based on the 3D aggregate morphological characteristics obtained using laser scanning, and then numerically evaluated the complex modulus utilizing the contact dynamic s method. Yuan et al [98] built a 3D DEM model in uniaxial compression loading for a large stone porous asphalt mixture based on the rebuilt irregular aggregate particles using CT technology, while contact characteristics such as coordination number, contact point, and energy were obtained based on the flat-joint contact model, and the compressive strength was also discussed. Ji et al [99] evaluated the rutting behavior of the asphalt mixture modified by Direct Coal Liquefaction Residue (DCLR) using a 2D FEM modeling.…”
Section: Mechanical Behaviors Evaluation On the Asphalt Mixturementioning
confidence: 99%
“…DEM is a useful method for examining the meso-mechanical characteristics of granular materials and is crucial for understanding the meso-structures of asphalt mixtures. The contact properties of asphalt mixtures based on DEM have been the subject of numerous studies, including those on the impact of coarse aggregate morphology on the mechanical properties of the skeleton [ 34 , 73 , 74 , 75 ], contact meso-structure evaluation indices [ 76 ], and the impact of the contact skeleton on impairing the movement of coarse aggregates [ 77 , 78 ]. The volume indices, rutting resistance, durability, and road performance of asphalt mixtures are all positively correlated with the meso-scale properties of aggregate contact [ 79 ].…”
Section: Characterization Of Load Transfer Mechanismmentioning
confidence: 99%
“…Considering that computational mechanics models are efficient tools in the evaluation of phenomena that are difficult to assess in the laboratory or in the field, a variety of such models have been developed in recent years to assess clogging (i.e., progressive reduction in the AV content of PFC due to contaminants such as rubber or dust, among others), ravelling (i.e., the loss of aggregates due to the repetitive passing of vehicles that leads to mixture disintegration starting from the surface layer), and other phenomena that can affect the functionally and durability of PFC. Most of these works have used Finite Element Methods (FEM) (Huurman et al, 2010;Zhang et al, 2016;Manrique-Sanchez et al, 2018;Manrique-Sanchez and Caro, 2019), while a few have used a Discrete Element Method (DEM) approach (Alvarez et al, 2010a;Yuan et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…These images are exhaustively analysed and processed to reconstruct the 3D PFC microstructure. Yuan et al (2020) used this technique to simulate the response of a PFC specimen subjected to an axial compression test.…”
Section: Introductionmentioning
confidence: 99%