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

Chen, Hao; Hoff, Inge; Liu, Gang; Zhang, Xuemei; Barbieri, Diego Maria; Wang, Fusong; Liu, Jianan

doi:10.1016/j.conbuildmat.2023.132085

Cited by 8 publications

(1 citation statement)

References 41 publications

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“…In fact, the GM model, in the form of the Prony series, describes the relaxation modulus of a viscoelastic material [9,10]. However, since the strain must remain constant during the experiment, it is difficult to directly determine the Prony series coefficients.…”

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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Section: Introductionmentioning

confidence: 99%