Study on Dynamic Response Characteristics of Saturated Asphalt Pavement under Multi-Field Coupling

Sun, Yi; Guo, Rui; Lin, Gao; Wang, Jinchang; Wang, Xiaochen; Yuan, Xuezhong

doi:10.3390/ma12060959

Cited by 14 publications

(5 citation statements)

References 16 publications

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“…Numerical simulation makes it possible to investigate the characteristics of dynamic responses of asphalt pavement under vehicle loading in simple or multiple service environments [18][19][20][21][22], which can help to present the health status of asphalt pavement structure and to further predict the residual service life [23][24][25][26]. Sun et al [3] constructed a 3D FEM model for the asphalt pavement under multi-field coupling, which included hydromechanical coupling and thermal hydromechanical coupling, and the dynamic response characteristics of saturated structure were numerically analyzed. Yang et al [27] built a 2D DEM model for asphalt pavement with multilayer subgrade and road surface to analyze its microscopic state mechanics response under a moving vehicle load, while relevant material parameter values for different layers were obtained by conducting mechanical tests with relevant DEM models.…”

Section: Structural Dynamic Response Analysismentioning

confidence: 99%

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Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

Wang,

Wang

2024

Materials

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Asphalt pavement, which is mainly made up of the asphalt mixture, exhibits complicated mechanical behaviors under the combined effects of moving vehicle loads and external service environments. Multi-scale numerical simulation can well characterize behaviors of asphalt materials and asphalt pavement, and the essential research progress is systematically summarized from an entire view. This paper reviews extensive research works concerning aspects of the design, characterization, and prediction of performance for asphalt materials and asphalt pavement based on multi-scale numerical simulation. Firstly, full-scale performance modeling on asphalt pavement is discussed from aspects of structural dynamic response, structural and material evaluation, and wheel–pavement interaction. The correlation between asphalt material properties and pavement performance is also analyzed, and so is the hydroplaning phenomenon. Macro- and mesoscale simulations on the mechanical property characterization of the asphalt mixture and its components are then investigated, while virtual proportion design for the asphalt mixture is introduced. Features of two-dimensional and three-dimensional microscale modeling on the asphalt mixture are summarized, followed by molecular dynamics simulation on asphalt binders, aggregates, and their interface, while nanoscale behavior modeling on asphalt binders is presented. Finally, aspects that need more attention concerning this study’s topic are discussed, and several suggestions for future investigations are also presented.

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Section: Structural Dynamic Response Analysismentioning

confidence: 99%

“…The research scale for asphalt pavement structure is the full scale, which also belongs to the macroscale. For numerical methods, several commercial software, such as ABAQUS of version 6.14 [1], ANSYS of version 19.0 [2], COMSOL of version 6.2 [3],…”

Section: Introductionmentioning

confidence: 99%

Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

Wang,

Wang

2024

Materials

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“…Since the pavement thickness is smaller than the other dimensions of the road, the one-dimensional thermal conduction phenomenon is generally adopted [8,15]. The continuous changes in the environment (such as the surrounding air temperature, solar radiation and wind speed) significantly affects the material properties and the performance of asphalt, making the heat flow process unsteady and varying in time and space [16,17], and the transient (unsteady) one-dimensional Fourier heat conduction equation is given by…”

Section: Introductionmentioning

confidence: 99%

Thermal Digital Twins of Asphalt Pavements using Physics-informed Neural Networks

Dilip

2024

World Congress on Civil, Structural, and Environmental Engineering

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To address the adverse effects of climate change on road surfaces, the creation of a thermal digital twin for asphalt pavements is proposed in this paper. The global increase in temperatures, coupled with heavy traffic loads, has resulted in the premature deterioration of asphalt roads. In response to these early failures, recent efforts have focused on enhancing pavement structural integrity by incorporating asphalt modifiers and cool pavement strategies. Regardless of the chosen approach, continuous monitoring of pavement characteristics using embedded sensors plays a crucial role in enabling timely maintenance and rehabilitation (M&R) decisions. One of the ways to achieve this is through the estimation of the thermal diffusivity of the pavement layers which can be directly related to structural condition. To estimate the diffusivity, an inverse-Physics-informed Neural Network model is proposed, which facilitates the integration of sensor data and the heat transfer mechanisms within the pavement. A finite-difference numerical model is adopted to serve as the groundtruth model, to provide the temperature data within the pavement layer, given the boundary conditions. Using the weather data of Dubai, this study has shown the feasibility of adopting Physics-informed Neural Networks (PINNs) to predict the temperature within the pavement layer, despite the complex mixed boundary conditions. Moreover, the i-PINN can be used to estimate the thermal diffusivity with an error of around 0.0001 m 2 /h, using temperature data taken from five depths of the asphalt layer. The contribution of this study, is therefore, a novel condition monitoring of asphalt pavements that can significantly improve existing road maintenance programs.

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“…In order to study the change law of pore water pressure in asphalt pavement, studies about numerical calculations and theoretical analyses have been carried out to calculate the pore water pressure [8][9][10][11][12][13]. For example, based on the porous media theory and Biot theory, Sun et al [14] built a hydromechanical coupling model to investigate the spatial distribution and the change law with time of pore water pressure in asphalt pavement. Existing research results indicate that there is a positive correlation between the pore water pressure and vehicle speed based on the fluid dynamics theory.…”

Section: Introductionmentioning

confidence: 99%

Evaluation on Distribution Characteristics of Pore Water Pressure within Saturated Pavement Structure Based on the Proposed Tire-Fluid-Pavement Coupling Model

Zheng

Huang

et al. 2022

Advances in Materials Science and Engineering

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To investigate the flow characteristics of pore water in asphalt pavement and the variation law of the pore water pressure under vehicle loading, a novel method based on BA network and quartet structure generation set method was proposed to reconstruct the three-dimensional (3D) pavement model with pores. The permeability coefficient and the gradation curve were adopted to evaluate the reliability and stability of the random growth pavement model. Then, the tire-fluid-pavement coupling model was established with FLUENT 3D based on the fluid Mie–Gruneisen state equation. According to the built fluid-solid coupling model, the pressure-velocity coupled finite volume algorithm was applied to study the distribution of the pore water pressure in asphalt pavement. Results show that the pore water pressure in asphalt pavement decays periodically with time under vehicle loading. For different types of asphalt pavement, the pore water pressure in open-graded friction course (OGFC) pavement is the smallest during the whole process. Moreover, the peak values of the pore water pressure decrease in the order of asphalt concrete (AC) pavement, stone mastic asphalt (SMA) pavement, and OGFC pavement. The maximum negative value of the pore water pressure is generally less than 0.3 times the maximum positive values. As for saturated pavement pores, the pore water pressure is hardly affected by the water film thickness. The positive peak value of the pore water pressure increases on an approximate parabolic curve as the vehicle speed improves gradually, while the negative one remains largely unchanged. The results are expected to help reduce tire hydroplaning risk and provide guidance for the selection of asphalt mixtures of drainage asphalt pavement.

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Study on Dynamic Response Characteristics of Saturated Asphalt Pavement under Multi-Field Coupling

Cited by 14 publications

References 16 publications

Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

Thermal Digital Twins of Asphalt Pavements using Physics-informed Neural Networks

Evaluation on Distribution Characteristics of Pore Water Pressure within Saturated Pavement Structure Based on the Proposed Tire-Fluid-Pavement Coupling Model

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