Determination of Surface Viscoelastic Response of Asphalt Pavement

Zhao, Yanqing; Wang, Lan; Chen, Peisong; Zeng, Weiqiao

doi:10.1061/(asce)em.1943-7889.0000943

Cited by 6 publications

(4 citation statements)

References 16 publications

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“…Comparing Figure 6 in this paper with Figure 5 in reference [48], it can be seen that the trend of two curves was same, the peak value of the deformations only differed by 0.19 mm, and the error is within the allowable range of finite element analysis, which verifies the correctness and feasibility of the numerical simulations in this paper.…”

Section: Calculation Of Mechanical Responses Of Viscoelastic Hmap supporting

confidence: 76%

“…The FEM model is shown in Figure 4 and the selection of pavement structure parameters were referred to the Specifications for Design of Highway Asphalt Pavement (JTG D50-2017), as shown in Table 10. The viscoelastic parameters of upper and under layer materials come from reference [48].…”

Section: Calculation Of Mechanical Responses Of Viscoelastic Hmap mentioning

confidence: 99%

“…To verify the accuracy of the model established in this paper, the results were compared with those in reference [48]. The parameters of the pavement structures were from reference [48]. The settings of the model size, the drive speed, the drive distance and the Haversine wave load were the same as in the reference.…”

Section: Calculation Of Mechanical Responses Of Viscoelastic Hmap mentioning

confidence: 99%

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Viscoelastic Mechanical Responses of HMAP under Moving Load

Sun

Lin

et al. 2018

Materials

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In order to represent the mechanical response laws of high-modulus asphalt pavement (HMAP) faithfully and objectively, the viscoelasticity of high-modulus asphalt mixture (HMAM) was considered, and the viscoelastic mechanical responses were calculated systematically based on moving load by numerical simulations. The performances of the HMAP in resistance to the deformation and the cracking at the bottom layer were compared with the ordinary asphalt pavement. Firstly, Lubao and Honeywell 7686 (H7686) were selected as the high modulus modifiers. The laboratory investigations of Asphalt mix-70 penetration, Asphalt mix-SBS (styrene-butadiene-styrene), HMAM-Lubao and HMAM-H7686 were carried out by dynamic modulus tests and wheel tracking tests. The conventional performances related to the purpose of using the HMAM were indicated. The master curves of the storage moduli were obtained and the viscoelastic parameters were fitted based on viscoelastic theories. Secondly, 3D pavement models based on moving loads for the viscoelastic structures were built using the non-linear finite element software ABAQUS. The wheel path was discretized in time and space to apply the Haversine wave load, and then the mechanical responses of four kinds of asphalt pavement were calculated. Finally, the sensitivity analysis was carried out. The results showed that the addition of the high modulus modifiers can improve the resistance to high-temperature rutting of the pavements. Except for the tensile strain and stress at the bottom of the underlayer, other responses decreased with the increases of the dynamic moduli and the change laws of the tensile strain and stress were affected by the range of the dynamic modulus. The tensile stress at the bottom of the asphalt layer would be too large if the modulus of the layer were too large, and a larger tensile strain would result. Therefore, the range of the modulus must be restricted to avoid the cracking due to excessive tension when using the HMAM. The resistance of the HMAP to deformation was better and the HMAP was less sensitive to load changes and could better withstand the adverse effects inflicted by heavy loads.

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Section: Calculation Of Mechanical Responses Of Viscoelastic Hmap supporting

confidence: 76%

Section: Calculation Of Mechanical Responses Of Viscoelastic Hmap mentioning

confidence: 99%

Section: Calculation Of Mechanical Responses Of Viscoelastic Hmap mentioning

confidence: 99%

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Viscoelastic Mechanical Responses of HMAP under Moving Load

Sun

Lin

et al. 2018

Materials

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“…Cauwelaert [26] however, explained that the drawback of the Gaussian formula is that a different set of m values will be required for every combination of a and r. Therefore, he implemented the Newton-Coates integration method to provide as general and fast a solution as possible. Zhao et al [16,27] implemented two methods to improve the accuracy and speed of convergence near the pavement surface; the Lucas algorithm, which converts complicated oscillating behaviours such as the product of two Bessel functions into regular high and low-frequency components, and Richardson's extrapolation to speed up the integration process. They reported that this method improved near-surface pavement response and computational speed in comparison with other pavement response programs such as KenLayer and BISAR.…”

Section: Mleamentioning

confidence: 99%

Improved Multi-layer Analysis of Pavement Response Using Neural Networks to Optimize Numerical Integration

Abed

Thom

Campos-Guereta

et al. 2022

Int. J. Pavement Res. Technol.

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This paper presents a new accurate method to compute the mechanical response of pavement structures using an Artificial Neural Network (ANN) model coupled with Multi-Layer Elastic Analysis (MLEA). The ANN model is used to improve the numerical integration of the response function used in the MLEA method. It requires four inputs: total pavement thickness, the diameter of the contact area, radial distance, and depth of the response point; and it was trained on one million hypothetical pavement structures. The developed method has been validated by a comparative analysis against boundary conditions, finite element analysis, and available MLEA solutions using various hypothetical pavement structures. The results demonstrate that the developed solution gives excellent response in the vicinity of the pavement surface together with a significant improvement in computational efficiency.

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