Three-dimensional mesoscopic permeability of porous asphalt mixture

Ni-gui, Qian; Wang, Duanyi; Li, Danning; Shi, Liwan

doi:10.1016/j.conbuildmat.2019.117430

Cited by 18 publications

(4 citation statements)

References 10 publications

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“…This approach develops a discrete model at the mesoscopic particle size to determine macroscopic variables such as density and flow rate. The lattice approach takes advantage of a computer's tremendous processing capacity to better examine seepage issues in complex porous media [28,29].…”

Section: Modeling Methodologymentioning

confidence: 99%

Characteristics of Internal Water Flow Conduction within Asphalt Mixtures Based on Real Three-Dimensional Void Structure

Wan

Zhang

2023

Buildings

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This work presents a new approach to investigating water conduction properties in real three-dimensional (3D) voids of asphalt mixtures. Three different molding methods were employed for the same grade of asphalt mixture, and the three asphalt mixture specimens were scanned using X-ray Computerized Tomography (CT) to identify the real 3D void structure distribution inside the mixture. The real 3D behavior of void moisture conduction inside the mixture was simulated using the discrete lattice Boltzmann method and the BGK collision model. Three different molding methods were used to study the behavior of mesoscopic seepage inside the specimen. The results show that water conduction varies substantially in real 3D voids inside diverse molded objects. Regardless of flow and flow velocity, the Superpave Gyratory Compactor (SGC) method is extraordinarily close to the conduction qualities of the actual field core material. It shows that the Marshall molding method is inconsistent with the actual pavement molding method, and the SGC method can not only ensure that the reasonable void ratio is conducive to the thermal expansion and cold shrinkage space of the asphalt mixture but also prevents rainwater from entering the asphalt mixture. This work provides a new perspective for the study of water damage resistance and medium transmission characteristics of asphalt mixtures.

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Section: Modeling Methodologymentioning

confidence: 99%

Characteristics of Internal Water Flow Conduction within Asphalt Mixtures Based on Real Three-Dimensional Void Structure

Wan

Zhang

2023

Buildings

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“…Thus, macroscopic indicators such as average porosity were used to describe its pore characteristics. However, existing research [2][3][4] shows that for the same kind of asphalt mixture, there are significant differences in its mechanical properties and flow characteristics in different directions.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Three-Dimensional Void Mesostructures and Geometries in Porous Asphalt Mixture Based on Computed Tomography (CT) Images and Avizo

Jing,

Dan,

Shan

et al. 2023

Materials

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To investigate the void mesostructure in porous asphalt mixtures (PA), computed tomography (CT) and Avizo were utilized to scan and reconstruct the three-dimensional (3D) void model of PA-16 specimens. The void mesostructure of the specimen was quantitatively characterized through the anisotropy evaluation index. The equivalent pore network model (PNM) was extracted using the medial axis method. Based on the PNM model, the topological structure of the specimen and the morphological characteristics of the connected pores were analyzed. The results showed that the void anisotropy evaluation method can reflect the microscopic morphology of voids in porous asphalt mixtures. The cross-sectional porosity of representative elementary volume (REV) is mainly distributed between 20% and 25%, and about 90% of the macropores have a diameter between 0.5 mm and 3 mm. The distribution of cross-sectional porosity is uneven along the REV height direction. As the smallest cross-section of the seepage path, the equivalent radius of the throat is mainly between 0.1 mm and 1.5 mm, which is much smaller than the equivalent radius of the pore. The topological structure of pores is quite different, and their coordination numbers are mainly concentrated within 18. The pores with coordination numbers 1 to 10 constitute the main body of the pores inside REV, accounting for over 98% of the total number of pores. In addition, the permeability calculation results show that there is a significant difference in the permeability of each axis of REV compared to the total permeability of the superpave gyratory compactor (SGC) specimen, which illustrates that the permeability distribution presents an obvious spatial anisotropy. This study effectively reveals the heterogeneity of the 3D void morphology of porous asphalt mixtures, and it provides a reference for a better understanding of the void flow rules in drainage pavements.

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“…The mechanical performance of PA mixture is not only related to the fundamental material properties, but also its geometric feature at mesoscale (Mohd Shukry et al 2018, Qian et al 2020. Improving the understanding of the mechanism of PA can significantly promote the structural design approach, and a long-life higher performance pavement infrastructure can therefore be established.…”

Section: Introductionmentioning

confidence: 99%

Effect of filler on performance of porous asphalt pavement using multiscale finite element method

Lü

Wang

et al. 2021

International Journal of Pavement Engineering

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Porous asphalt (PA) pavements are widely employed in areas with wet climates due to their excellent permeability and superior performance. As particle enhancement inclusions in asphalt mastic, mineral fillers play essential roles in improving the performance of PA pavements. This study developed a coupled multiscale finite element (FE) model, involving the mesostructure of PA mixture and PA pavement. Within this model, the mesoscale structure was captured by X-ray computer tomography (X-ray CT) scanning and reconstructed with digital image processing (DIP) technology. Four types of mastic properties were employed with four mineral fillers (Granodiorite, Limestone, Dolomite, and Rhyolite) in the mesoscale portion of the pavement model to analyze the effects of filler types on the performance of pavements. A constant tire loading was applied and two temperatures (0 °C and 50 °C) were specified. The performances (load-bearing capacity, rutting resistance, and raveling resistance) of pavements with different fillers were identified and ranked, and their correlations with the chemical components of the four fillers were analyzed. The computational results showed that pavements with Rhyolite and Granodiorite fillers have higher load-bearing capacities and rutting resistance, while the Limestone and Dolomite fillers can improve the raveling resistance of the PA pavements. In the correlation analysis, the chemical components Al2O3 and SiO2 play dominant roles in improving the load-bearing capacities and rutting resistance of the PA pavements, and the fillers with high percentages of CaO can improve the raveling resistance of the PA pavements. Based on this algorithm, it is possible to select an optimal filler for a specific pavement design and thus improve the durability of the PA pavements.

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Three-dimensional mesoscopic permeability of porous asphalt mixture

Cited by 18 publications

References 10 publications

Characteristics of Internal Water Flow Conduction within Asphalt Mixtures Based on Real Three-Dimensional Void Structure

Characteristics of Internal Water Flow Conduction within Asphalt Mixtures Based on Real Three-Dimensional Void Structure

Investigation on Three-Dimensional Void Mesostructures and Geometries in Porous Asphalt Mixture Based on Computed Tomography (CT) Images and Avizo

Effect of filler on performance of porous asphalt pavement using multiscale finite element method

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