2018
DOI: 10.1016/j.conbuildmat.2018.06.059
|View full text |Cite
|
Sign up to set email alerts
|

Lab assessment and discrete element modeling of asphalt mixture during compaction with elongated and flat coarse aggregates

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
19
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 75 publications
(19 citation statements)
references
References 20 publications
0
19
0
Order By: Relevance
“…For compacted asphalt mixture, studies are found on using the method for predicting and analysing bulk modulus, dilation, fracture or permanent deformation of the mixture (Collop, McDowell, & Lee, 2006;Kim & Buttlar, 2009;Ma, Zhang, Zhang, Wang, & Huang, 2018;You, Adhikari, & Dai, 2008). For uncompacted asphalt mixture, the method has been employed to investigate the mixture's compactability by simulating its densification process under different compaction modes and with different aggregate characteristics (Chen, Huang, Chen, & Shu, 2012;Chen, Huang, Shu, & Hu, 2014;Gong, Liu, Zhou, & You, 2018;Roozbahany & Partl, 2016). These studies indiate that DE method is able to simulate asphalt flow under certain conditions whereas, the mechanisms of the involved microstructural activities and how they affect the macroscopic responses of the mixture are still poorly understood.…”
Section: Introduction 1backgroundmentioning
confidence: 99%
“…For compacted asphalt mixture, studies are found on using the method for predicting and analysing bulk modulus, dilation, fracture or permanent deformation of the mixture (Collop, McDowell, & Lee, 2006;Kim & Buttlar, 2009;Ma, Zhang, Zhang, Wang, & Huang, 2018;You, Adhikari, & Dai, 2008). For uncompacted asphalt mixture, the method has been employed to investigate the mixture's compactability by simulating its densification process under different compaction modes and with different aggregate characteristics (Chen, Huang, Chen, & Shu, 2012;Chen, Huang, Shu, & Hu, 2014;Gong, Liu, Zhou, & You, 2018;Roozbahany & Partl, 2016). These studies indiate that DE method is able to simulate asphalt flow under certain conditions whereas, the mechanisms of the involved microstructural activities and how they affect the macroscopic responses of the mixture are still poorly understood.…”
Section: Introduction 1backgroundmentioning
confidence: 99%
“…Thus, DE method shows its merit for studying the flow of uncompacted asphalt and, a number of research have been found on using the method to investigate asphalt compatibility, e.g. in [11][12][13][14]. When the unbound and asphalt mixtures are subjected to vibratory loading, several important factors could influence their flow behaviour: (1) the vibration condition, e.g., frequency, amplitude and time; (2) the material properties, e.g., gradation, shape, and density of particles; and (3) the contact interaction between particles, especially the adhesion effect from bituminous binder.…”
Section: Simulation Methods and Planmentioning
confidence: 99%
“…Studies have shown that coarse aggregate particles in an asphalt mixture will move (migrate and rotate) during the compaction process, and elongated, flat aggregate particles tend to eventually become horizontal [33,34]. From the torque condition for an object under force, elongated, flat The crack encounters the aggregate after propagating a distance of ∆a.…”
Section: Mixture Fracture Path Analysismentioning
confidence: 99%
“…With reference to the fatigue test results and engineering application performance investigation of EAC on steel bridges for more than 12 years, the evaluated EAC showed good fatigue resistance. Studies have shown that coarse aggregate particles in an asphalt mixture will move (migrate and rotate) during the compaction process, and elongated, flat aggregate particles tend to eventually become horizontal [33,34]. From the torque condition for an object under force, elongated, flat aggregate particles are more likely to be broken off.…”
Section: Fatigue Property Of the Eac Analysismentioning
confidence: 99%