Comprehensive Evaluation of Small Strain Viscoelastic Behavior of Asphalt Concrete

This paper proposes a straightforward procedure to characterize the nonlinear viscoelastic response of asphalt concrete materials. Furthermore, a model is proposed to estimate the nonlinear viscoelastic parameters as a function of the triaxiality ratio, which accounts for both confinement and deviatoric stress levels. The simplified procedure allows for easy characterization of linear viscoelastic (LVE) and nonlinear viscoelastic (NVE) responses. First, Schapery’s nonlinear viscoelastic model is used to represent the viscoelastic behavior. Dynamic modulus tests are performed to calibrate LVE properties. Repeated creep-recovery tests at variable deviatoric stress levels (RCRT-VS) were designed and conducted to calibrate the nonlinear viscoelastic properties of four types of mixtures used in the Federal Aviation Administration’s National Airport Pavement and Materials Research Center test sections. The RCRT-VS were conducted at 55°C, 140 kPa initial confinement pressure, and wide range of deviatoric stress levels; mimicking the stress levels induced in a pavement structure under traffic. Once calibrated, the model was validated by comparing the model predictions and experimental measurements at different deviatoric stress levels. The predictions indicate that the proposed method is capable of characterizing NVE response of asphalt concrete materials.

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Probabilistic modeling of viscoelastic behavior of asphalt concrete

Advances in Materials and Pavement Performance Prediction ◽

10.1201/9780429457791-86 ◽

2018 ◽

pp. 361-365

Author(s):

H.A. Kassem ◽

G.R. Chehab ◽

S.S. Najjar

Keyword(s):

Asphalt Concrete ◽

Viscoelastic Behavior ◽

Probabilistic Modeling

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Characterization of asphalt concrete linear viscoelastic behavior utilizing Havriliak–Negami complex modulus model

Construction and Building Materials ◽

10.1016/j.conbuildmat.2015.09.016 ◽

2015 ◽

Vol 99 ◽

pp. 226-234 ◽

Cited By ~ 20

Author(s):

Yiren Sun ◽

Jingyun Chen ◽

Baoshan Huang

Keyword(s):

Asphalt Concrete ◽

Complex Modulus ◽

Viscoelastic Behavior ◽

Linear Viscoelastic Behavior ◽

Linear Viscoelastic

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Prediction of Viscoelastic Behavior in Asphalt Concrete Using the Fast Multipole Boundary Element Method

Journal of Materials in Civil Engineering ◽

10.1061/(asce)mt.1943-5533.0000603 ◽

2013 ◽

Vol 25 (3) ◽

pp. 328-336 ◽

Cited By ~ 12

Author(s):

Xing-yi Zhu ◽

Wei-qiu Chen ◽

Zhong-xuan Yang

Keyword(s):

Boundary Element Method ◽

Boundary Element ◽

Asphalt Concrete ◽

Viscoelastic Behavior ◽

Fast Multipole ◽

Element Method

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Comparison of Pavement Layers Responses with Considering Different Models for Asphalt Concrete Viscoelastic Properties

Slovak Journal of Civil Engineering ◽

10.2478/sjce-2013-0008 ◽

2013 ◽

Vol 21 (2) ◽

pp. 15-20 ◽

Cited By ~ 2

Author(s):

Mehdi Koohmishi

Keyword(s):

Asphalt Concrete ◽

Structural Model ◽

Viscoelastic Model ◽

Viscoelastic Behavior ◽

Maxwell Model ◽

Elastic Behavior ◽

Linear Elastic ◽

Concrete Layer ◽

Linear Viscoelastic Behavior ◽

Linear Viscoelastic

Abstract In this paper, a comparison between pavement responses is performed by considering two different models for the linear viscoelastic behavior of an asphalt concrete layer. Two models, the Maxwell model and the Kelvin-Voigt model, are generalized. The former is used in ABAQUS and the latter in KENLAYER. As a preliminary step, an appropriate structural model for a flexible pavement structure is developed in ABAQUS by considering linear elastic behavior for all the layers. According to this model, when the depth of a structural model is equal to 6 meters, there is a good agreement between the ABAQUS and KENLAYER results. In this model, the thickness of the pavement is equal to 30 centimeters, and the thickness of the subgrade is equal to 5.7 meters. Then, the viscoelastic behavior is considered for the asphalt concrete layer, and the results from KENLAYER and ABAQUS are compared with each other. The results indicate that the type of viscoelastic model applied to an asphalt concrete layer has a significant effect on the prediction of pavement responses and, logically, the predicted performance of a pavement.

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