Influence of material factors on the determination of dynamic moduli and associated prediction models for different types of asphalt mixtures

Chen, Hao; Saba, Rabbira Garba; Liu, Gang; Barbieri, Diego Maria; Zhang, Xuemei; Hoff, Inge

doi:10.1016/j.conbuildmat.2022.130134

Cited by 12 publications

(2 citation statements)

References 28 publications

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“…Additionally, the analysis of covariance (ANCOVA) was used to evaluate the effects of gradation, PU type, PU binder, and aggregate type on the dynamic modulus and phase angle. In the statistical analysis [25,26], gradation, PU type, PU binder, and aggregate type were considered independent variables, whereas temperature and loading frequency were covariates. The dynamic modulus and phase angle were regarded as dependent variables or responses.…”

Section: Statistic Analysismentioning

confidence: 99%

Study on the Influence Factors of Dynamic Modulus and Phase Angle of Dense Gradation Polyurethane Mixture

Zhao

Zhang

Cui³

et al. 2023

Coatings

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Polyurethane (PU) mixture is a new pavement material with excellent pavement performance, and most research was focused on the enhancement of pavement performance, but rarely on the dynamic property. This paper studied the factors including gradation, aggregate type, PU type, and PU content, which may influence the dynamic property of the PU mixture. Test results showed that the PU mixture is a kind of linear viscoelastic material, its dynamic modulus and phase angle changed with test temperature and loading frequency, the dynamic modulus would drop by 40%~50% with the temperature raised from 5 °C to 55 °C. All of the factors could affect the dynamic property of the PU mixture which was proved by the analysis of covariance. The effect of gradation did not change with the increase of the nominal maximum aggregate size (NMAS), the dynamic modulus of the PU mixture with limestone was higher than that of the PU mixture with basalt, and the curing speed of PU could affect the ultimate stiffness of the PU mixture, and the increase of the PU content did not help in the increase of the dynamic modulus of the PU mixture. So, more consideration about the selection of gradation, aggregate type, PU type, and PU content should be taken into the design of the PU mixture, which could produce the best pavement structure combination and save more investment.

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Section: Statistic Analysismentioning

confidence: 99%

Study on the Influence Factors of Dynamic Modulus and Phase Angle of Dense Gradation Polyurethane Mixture

Zhao

Zhang

Cui³

et al. 2023

Coatings

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“…The effect of size can be characterized in terms of shape and mass; Di Benedetto et al experimentally demonstrated that specimen size and mass affect the magnitude of the dynamic modulus [15]. In addition, there are many dynamic modulus testing methods with different loading modes and different specimen shapes, including uniaxial compression, indirect tension, four-point bending, etc., [16][17][18]. Huang et al conducted dynamic modulus tests for trapezoid beams and cylinders and found that the dynamic modulus was smaller in trapezoid beam tests [19].…”

Section: Introductionmentioning

confidence: 99%

A Study on the Genetic Algorithm Optimization of an Asphalt Mixture’s Viscoelastic Parameters Based on a Wheel Tracking Test

Zhang,

Zhou,

Cao

et al. 2023

Infrastructures

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The generalized Maxwell (GM) constitutive model has been widely applied to characterize the viscoelastic properties of asphalt mixtures. The parameters (Prony series) of the GM are usually obtained via interconversion between a dynamic modulus and relaxation modulus, and they are then input to a finite element model (FEM) as viscoelastic parameters. However, the dynamic modulus obtained with the common loading mode only provides the compressive and tensile properties of materials. Whether the compression or tensile modulus can represent the shear properties of materials related to flow rutting is still open to discussion. Therefore, this study introduced a novel method that integrates the Kriging model into the genetic algorithm as a surrogate model to determine the viscoelastic parameters of an asphalt mixture in rutting research. Firstly, a wheel tracking test (WTT) for AC-13 was conducted to clarify the flow rutting development mechanism. Secondly, two sets of the AC-13 viscoelastic parameters obtained through the optimization method and the dynamic modulus were used as inputs into the FEM simulation of the WTT to compare the simulation results. Finally, a sensitivity analysis of viscoelastic parameters was performed to improve the efficiency of parameter optimization. The results indicating the viscoelastic parameters obtained by this method could precisely characterize the development law of flow rutting in asphalt mixtures.

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Development of finite element model based on indirect tensile test for various asphalt mixtures

Chen

Hoff

Liu

et al. 2023

Construction and Building Materials

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Influence of material factors on the determination of dynamic moduli and associated prediction models for different types of asphalt mixtures

Cited by 12 publications

References 28 publications

Study on the Influence Factors of Dynamic Modulus and Phase Angle of Dense Gradation Polyurethane Mixture

Study on the Influence Factors of Dynamic Modulus and Phase Angle of Dense Gradation Polyurethane Mixture

A Study on the Genetic Algorithm Optimization of an Asphalt Mixture’s Viscoelastic Parameters Based on a Wheel Tracking Test

Development of finite element model based on indirect tensile test for various asphalt mixtures

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