Coupled Navier–Stokes Phase-Field Model to Evaluate the Microscopic Phase Separation in Asphalt Binder under Thermal Loading

Hou, Yue; Sun, Wenjuan; Das, Prabir Kumar; Song, Xiuguang; Wang, Linbing; Ge, Zhi; Huang, Yucheng

doi:10.1061/(asce)mt.1943-5533.0001581

Cited by 42 publications

(12 citation statements)

References 19 publications

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“…It is expected that nano-indentation test can investigate the viscous and adhesion properties of bitumen at microscale. Currently, we use the empirical values based on previous researches [ 15 , 16 ].…”

Section: Phase Dynamicsmentioning

confidence: 99%

“…According to the above literature review, even though much effort has been devoted, the relationship between the micro-mechanical behavior and microstructure/chemistry of bitumen is very complicated, still not clear, and under debate among researchers. Moreover, although the authors have previously analyzed the bitumen microstructure evolution using phase field method [ 15 , 16 ], the researches do not relate the microstructure to the frictional behavior and the determination of bitumen parameters in phase dynamics model is not given. To better understand the micro-mechanical behaviors in bitumen, in this study, the bitumen microstructure and micro-mechanical behaviors at the surface are studied using AFM experiments.…”

Section: Background and Introductionmentioning

confidence: 99%

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Characterization of Bitumen Micro-Mechanical Behaviors Using AFM, Phase Dynamics Theory and MD Simulation

Hou

Wang

et al. 2017

Materials

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Fundamental understanding of micro-mechanical behaviors in bitumen, including phase separation, micro-friction, micro-abrasion, etc., can help the pavement engineers better understand the bitumen mechanical performances at macroscale. Recent researches show that the microstructure evolution in bitumen will directly affect its surface structure and micro-mechanical performance. In this study, the bitumen microstructure and micro-mechanical behaviors are studied using Atomic Force Microscopy (AFM) experiments, Phase Dynamics Theory and Molecular Dynamics (MD) Simulation. The AFM experiment results show that different phase-structure will occur at the surface of the bitumen samples under certain thermodynamic conditions at microscale. The phenomenon can be explained using the phase dynamics theory, where the effects of stability parameter and temperature on bitumen microstructure and micro-mechanical behavior are studied combined with MD Simulation. Simulation results show that the saturates phase, in contrast to the naphthene aromatics phase, plays a major role in bitumen micro-mechanical behavior. A high stress zone occurs at the interface between the saturates phase and the naphthene aromatics phase, which may form discontinuities that further affect the bitumen frictional performance.

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Section: Phase Dynamicsmentioning

confidence: 99%

Section: Background and Introductionmentioning

confidence: 99%

Characterization of Bitumen Micro-Mechanical Behaviors Using AFM, Phase Dynamics Theory and MD Simulation

Hou

Wang

et al. 2017

Materials

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“…Asphalt mixture, which is one of the most widely used pavement materials, is a viscoelastic material that is very sensitive to the external environmental conditions [ 1 , 2 ]. Changes in the weather conditions, such as the alternation of freezing and thawing cycles may alter the internal structure and may consequently result in the initial damage of asphalt pavement [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

A Micro-Scale Investigation on the Behaviors of Asphalt Mixtures under Freeze-Thaw Cycles Using Entropy Theory and a Computerized Tomography Scanning Technique

Tan

et al. 2018

Entropy

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Abstract:The thermodynamic behavior of asphalt mixtures is critical to the engineers since it directly relates to the damage in asphalt mixtures. However, most of the current research of the freeze-thaw damage of asphalt mixtures is focused on the bulk body from the macroscale and lacks a fundamental understanding of the thermodynamic behaviors of asphalt mixtures from the microscale perspective. In this paper, to identify the important thermodynamic behaviors of asphalt mixtures under freeze-thaw loading cycle, the information entropy theory, an X-ray computerized tomography (CT) scanner and digital image processing technology are employed. The voids, the average size of the voids, the connected porosity, and the void number are extracted according to the scanned images. Based on the experiments and the CT scanned images, the information entropy evolution of the asphalt mixtures under different freeze-thaw cycles is calculated and the relationship between the change of information entropy and the pore structure characteristics is established. Then, the influences of different freezing and thawing conditions on the thermodynamic behaviors of asphalt mixtures are compared. The combination of information entropy theory and CT scanning technique proposed in this paper provides an innovative approach to investigate the thermodynamics behaviors of asphalt mixtures and a new way to analyze the freeze-thaw damage in asphalt mixtures.

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“…Dong et al [7] and Liu and Wang [8] applied fractal analysis to study the gradation of asphalt concrete, concluded the relationship between fractal dimension and performance of asphalt mixture, and recommended the fractal dimension value of asphalt concrete (AC) gradation with good performance. Although there have been some progress in the asphalt pavement and mixture area [9][10][11], in the previous studies, most researches are focused on the volumetric fractal dimension of the asphalt mixture 2 Advances in Materials Science and Engineering gradation and it is very hard to obtain the gradation data of a formed asphalt concrete. In this paper, a simple means is proposed to approximately estimate the gradation of the asphalt mixture through the digital images.…”

Section: Introductionmentioning

confidence: 99%

Fractal Analysis on Asphalt Mixture Using a Two-Dimensional Imaging Technique

Hou

Huang

Sun

et al. 2016

Advances in Materials Science and Engineering

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Fractal is a mathematical set that has a fractal dimension which usually exceeds its topological dimension and may be nonintegral. Since the asphalt pavement texture has limitations of randomness and self-similarity, fractal theory has been explored to quantify the asphalt pavement texture and employs good applicability in processing and analyzing the complex details of research object. In this paper, the 2D digital image of the pavement surface is measured in terms of area fractal dimension and contour fractal dimension, which are used to correlate with aggregate gradation and British Pendulum Number (BPN) value, respectively. It turns out the area fractal dimension of aggregate provides a simple way to acquire the continuous gradation of asphalt concrete sample and the contour fractal dimension is an available parameter to characterize roughness and friction of pavement surface texture.

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Coupled Navier–Stokes Phase-Field Model to Evaluate the Microscopic Phase Separation in Asphalt Binder under Thermal Loading

Cited by 42 publications

References 19 publications

Characterization of Bitumen Micro-Mechanical Behaviors Using AFM, Phase Dynamics Theory and MD Simulation

Characterization of Bitumen Micro-Mechanical Behaviors Using AFM, Phase Dynamics Theory and MD Simulation

A Micro-Scale Investigation on the Behaviors of Asphalt Mixtures under Freeze-Thaw Cycles Using Entropy Theory and a Computerized Tomography Scanning Technique

Fractal Analysis on Asphalt Mixture Using a Two-Dimensional Imaging Technique

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