A new framework for understanding aggregate structure in asphalt mixtures

Pouranian, M. Reza; Haddock, John E.

doi:10.1080/10298436.2019.1660340

Cited by 33 publications

(12 citation statements)

References 31 publications

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“…The skeleton structure is usually characterized as the morphology (Ding et al, 2017;P. Liu et al, 2017;Wang et al, 2020;Xiao & Tutumluer, 2016) and size range of constituent aggregates (Chen et al, 2015;Pouranian & Haddock, 2019;Ren & Yin, 2020;Y. Zhang et al, 2019), and the properties of force chains, including their shape (Bassett et al, 2015), length (Wang et al, 2020), contact condition (P. , bearing capacity (Y.…”

Section: Introductionmentioning

confidence: 99%

“…Mixture stability herein refers to fatigue performance (Huang et al., 2020), creep performance (Ding et al., 2018), anti‐rutting performance (Ma et al., 2016), coarse aggregate movement (S. Li et al., 2020; Shi, Wang, Jin, et al., 2020) and other features. The skeleton structure is usually characterized as the morphology (Ding et al., 2017; P. Liu et al., 2017; Wang et al., 2020; Xiao & Tutumluer, 2016) and size range of constituent aggregates (Chen et al., 2015; Pouranian & Haddock, 2019; Ren & Yin, 2020; Y. Zhang et al., 2019), and the properties of force chains, including their shape (Bassett et al., 2015), length (Wang et al., 2020), contact condition (P. Li et al., 2020), bearing capacity (Y. Zhang et al., 2019), and quantity and distribution (Chang et al., 2020; G. Liu et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

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Stability prediction for asphalt mixture based on evolutional characterization of aggregate skeleton

Jin

Wan

Liu

et al. 2021

Computer aided Civil Eng

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The aggregate skeleton significantly influences the deformation resistance of asphalt mixtures. A stable skeleton has good interlocking effects and load transfer ability to resist deformation of mixtures during loading. Therefore, the methodology to accurately evaluate the morphology of aggregate skeleton based on the mechanism of load transfer inside mixtures is of great value to predict the mixture stability. The objective of this study is to predict and validate mixture stability from the perspective of evolutional morphologies of the skeleton.The methodology has three main steps, which are as follows: (1) the initial morphology of the aggregate skeleton is characterized and evaluated; (2) the topological and non-topological evolutions of the skeleton morphology during external loading are characterized; and (3) the strain energy of the mixture and the stress distribution on contact regions in the skeleton are used to analyze and validate the prediction of the mixture's stability. Simulations of uniaxial displacementcontrolled tests of three cylindrical specimens drilled in a field-compacted test track were conducted, and 7.5, 15, 22.5, and 30 s were selected as time points in the simulation to analyze mixture stability. Results indicate that a mixture has a better load-bearing capacity when its initial skeleton contains more chains with higher evaluation indices, which proves the reliability of the stability prediction using the proposed method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stability prediction for asphalt mixture based on evolutional characterization of aggregate skeleton

Jin

Wan

Liu

et al. 2021

Computer aided Civil Eng

View full text Add to dashboard Cite

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“…Gong analyzed the movement characteristic of differently shaped compositions in the Superpave gyratory compactor (SGC) test through tracking coarse aggregates and a numerical simulation of the Discrete Element Method (DEM) [6]. Pouranian developed a framework to define the aggregate structure of asphalt mixtures when fine and coarse aggregate stockpiles are blended [7]. Olsson developed a new DEM modelling approach for studying the asphalt compaction process, incorporating contact and damage laws based on granular mechanics [8].…”

Section: Introductionmentioning

confidence: 99%

Study on Migratory Behavior of Aggregate in Asphalt Mixture Based on the Intelligent Acquisition System of Aggregate Attitude Data

Zhang

2021

Sustainability

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In order to provide a new method to study the migration behavior of coarse aggregates in the compaction process of asphalt mixtures, the “Intelligent Aggregate Attitude Acquisition System (IAS)” is developed based on 3D printing technology and wireless intelligent sensing technology, and the “Intelligent Attitude Aggregate (IAA)” is prepared as the acquisition terminal. The Superpave Gyratory Compaction (SGC) test and the Internet of Things (IOT) wireless sensor technology are combined to collect and analyze the attitude data of an SMA-20 asphalt mixture built in IAA at different compaction stages, and the migration behavior of coarse aggregate in the compaction process is quantitatively characterized. The result shows that the IAA is suitable as a “tracking aggregate” to study the aggregate transfer behavior in asphalt mixtures. The IAA in the upper layer tends to move vertically downward, while the particles in the lower layer tend to move horizontally and spatial rotation in the process of rotating compaction. With the increase in asphalt content, the lubrication effect between aggregate particles is obvious, and the friction resistance of aggregate particles decreases when it is embedded downward. Affected by shear force in the process of rotary compaction, the aggregate particles are easier to overcome friction and cause large horizontal migration and spatial rotation. With the increase in compaction temperature, the viscosity of asphalt binder decreases, and the contact friction between aggregate particles decreases. The asphalt content has a significant effect on the displacement in the horizontal plane Dxoy of the aggregate. The asphalt content and compaction temperature have significant effects on the spatial rotation angle Φ of aggregate, but the asphalt content has a greater impact on it.

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“…The effect of size ratio and air volume between the particles on the aggregate structure and packing density of binary mixtures was researched by Pouranian, M. R. and Haddock, J.E. [8]. In addition, compaction parameters, including compaction slope, initial density, locking point and compaction energy index have been analyzed.…”

Section: Introductionmentioning

confidence: 99%

Modification Tests to Optimize Highway Construction in Crown of Slate Random Embankments with Compaction Quality Control

et al. 2020

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The compaction control of random fills has developed very little due to the limitations of particle sizes, with methods usually using a simple procedural control. In order to develop new quality control procedures for random slate filling, the necessary field work and laboratory tests were carried out. New test procedures for wheel-tracking or settlement tests have been successfully investigated. A total of 4500 in situ measurements of density and 580 topographic settlements, 960 wheel-tracking trolley tests and more than 130 slab rolling tests have been determined. An analysis of variance (ANOVA) has been carried out, obtaining correlations between tests in order to replace the deductibles. The variables that were used to analyze variance were the average lot density, the average settlement between last and first roller pass, the average wheel impression after test carriage, the first vertical modulus of the plate bearing test (PLT), the second vertical modulus of the PLT and the relation between second and first modulus of the PLT. The research proposes a new procedure for the quality control of the compaction of the randomized slate filling used in the crown area.

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A new framework for understanding aggregate structure in asphalt mixtures

Cited by 33 publications

References 31 publications

Stability prediction for asphalt mixture based on evolutional characterization of aggregate skeleton

Stability prediction for asphalt mixture based on evolutional characterization of aggregate skeleton

Study on Migratory Behavior of Aggregate in Asphalt Mixture Based on the Intelligent Acquisition System of Aggregate Attitude Data

Modification Tests to Optimize Highway Construction in Crown of Slate Random Embankments with Compaction Quality Control

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