Numerical investigation into the effect of air voids on the anisotropy of asphalt mixtures

Jun Chen , Qianqian Zhang , Hao Wang , Linbing Wang , Xiaoming Huang

Journal of Wuhan University of Technology Materials Science Edition ›› 2017, Vol. 32 ›› Issue (2) : 473 -481.

PDF
Journal of Wuhan University of Technology Materials Science Edition ›› 2017, Vol. 32 ›› Issue (2) : 473 -481. DOI: 10.1007/s11595-017-1621-y
Organic Materials

Numerical investigation into the effect of air voids on the anisotropy of asphalt mixtures

Author information +
History +
PDF

Abstract

The aim of this study is to investigate the asphalt mixture anisotropy of both the modulus and Poisson’s ratio due to air voids using a discrete element modeling simulation method. Three three-dimensional cubic digital samples of asphalt mixture with different shapes of single air void were built using discrete element software PFC 3D. The aggregate gradation, air voids and mastic included in the digital samples were modeled using different contact models, with due consideration of the volumetric fractions of the different phases. Laboratory uniaxial complex modulus test and indirect tensile strength test were conducted to obtain material input parameters for numerical modeling. Simulation of the uniaxial cyclic compressive tests was performed on the three cubic samples loaded in three different directions. Dynamic modulus in three directions and Poisson’s ratio in six directions were calculated from the compression stress-strain responses. Results show that both the modulus and Poisson’s ratio are dependent on the preferential orientation of air voids. The anisotropy of the modulus and Poisson’s ratio increases as the pressure loading on the asphalt mixture increases. Compared to the modulus, Poisson’s ratio due to air voids has been shown to be more anisotropic. The maximum of Poisson’s ratio and modulus is shown to be up to 80% and 11% higher than the minimum, respectively.

Keywords

anisotropy / asphalt mixture / air void / discrete element modeling / dynamic modulus / Poisson’s ratio

Cite this article

Download citation ▾
Jun Chen, Qianqian Zhang, Hao Wang, Linbing Wang, Xiaoming Huang. Numerical investigation into the effect of air voids on the anisotropy of asphalt mixtures. Journal of Wuhan University of Technology Materials Science Edition, 2017, 32(2): 473-481 DOI:10.1007/s11595-017-1621-y

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Adu-Osei A. Characterization of Unbound Granular Layers in Flexible Pavements[D]. 2000

[2]

Masad E, Tashman L, Somedavan N, et al. Micromechanics-Based Analysis of Stiffness Anisotropy in Asphalt Mixtures[J]. Journal of Materials in Civil Engineering, 2002, 14(5): 374-383.

[3]

Underwood S, Heidari AH, Guddati M, et al. Experimental Investigation of Anisotropy in Asphalt Concrete[J]. Journal of the Transportation Research Board, 2005, 1929: 238-247.

[4]

Zhang Y, Luo R, Lytton RL. Microstructure-Based Inherent Anisotropy of Asphalt Mixtures[J]. Journal of Materials in Civil Engineering, 2011, 23: 1473-1482.

[5]

Mamlouk MS, Witczak MW, Kaloush KE, et al. Effect of Anisotropy on Compressive and Tensile Properties of Asphalt Mixtures[J]. Journal of Testing and Evaluation, 2002, 30(5): 432-438.

[6]

Wang L, Hoyos LR, Wang J, et al. Anisotropic Properties of Asphalt Concrete: Characterization and Implications for Pavement Design and Analysis[J]. Journal of Materials in Civil Engineering, 2005, 17(5): 535-543.

[7]

Zhang Y, Luo R, Lytton RL. Anisotropic Viscoelastic Properties of Undamaged Asphalt Mixtures[J]. Journal of Transportation Engineering, 2012, 138(1): 75-89.

[8]

Kim S H, Little D, Masad E. Simple Methods to Estimate Inherent and Stress-Induced Anisotropy of Aggregate Base[J]. Journal of Transportation Research Board, 2005, 1913: 24-31.

[9]

Liu T, Zhang X, Li Z, et al. Research on the Homogeneity of Asphalt Pavement Quality Using X-Ray Computed Tomography (CT) and Fractal Theory[J]. Construction and Building Materials, 2014, 68: 587-598.

[10]

Kongkitkul W, Musika N, Tongnuapad C, et al. Anisotropy in Compressive Strength and Elastic Stiffness of Normal and Polymer-Modified Asphalts[J]. Soil and Foundations, 2014, 54(2): 94-108.

[11]

Gudmarsson A, Ryden N, Birgisson B. Observed Deviations from Isotropic Linear Viscoelastic Behavior of Asphalt Concrete through Modal Testing[J]. Construction and Building Materials, 2014, 66: 63-71.

[12]

Liang RY, Alfoul BA, Khasawneh M. Laboratory Investigation of Anisotropic Behaviour of HMA[C]. International Conference on Perpetual Pavement, 2006

[13]

Levenberg E, Uzan J. Triaxial Small-Strain Viscoelastic Viscoplastic Modeling of Asphalt Aggregate Mixes[J]. Mechanics of Time-Dependent Materials, 2004, 8(4): 365-384.

[14]

Tashman L, Masad E, Little D, et al. A Microstructure-Based Viscoplastic Model for Asphalt Concrete[J]. International Journal of Plasticity, 2005, 21: 1659-1685.

[15]

Chen J, Pan T, Huang X. Numerical Investigation into the Stiffness Anisotropy of Asphalt Concrete from a Microstructural Perspective[J]. Construction and Building Materials, 2011, 25(7): 3059-3065.

[16]

Pan T, Tutumluer E, Carpenter SH. Effect of Coarse Aggregate Morphology on Permanent Deformation Behavior of Hot Mix Asphalt[J]. ASCE Journal of Transportation Engineering, 2006, 132(7): 580-589.

[17]

Chen J, Pan T, Huang X. Evaluation of Styrene-Butadiene Latex as a Vibration Damping Admixture for Concrete: A Micromechanical Analysis[J]. Journal of the Chinese Institute of Engineers, 2013, 36(8): 1008-1016.

[18]

Masad E, Jandhyala VK, Dasgupta N, et al. Characterization of Air Void Distribution in Asphalt Mixes Using X-Ray Computed Tomography[J]. Journal of Materials in Civil Engineering, 2002, 14(2): 122-129.

[19]

Liu Y, Dai Q L, You ZP. Viscoelastic Model for Discrete Element Simulation of Asphalt Mixtures[J]. Journal of Engineering Mechanics, 2009, 135(4): 324-333.

[20]

You ZP, Adhikari S, Dai QL. Three-Dimensional Discrete Element Models for Asphalt Mixtures[J]. Journal of Engineering Mechanics, 2008, 134(12): 1053-1062.

[21]

You ZP, Buttlar WG. Discrete Element Modeling to Predict the Modulus of Asphalt Concrete Mixtures[J]. ASCE Journal of Materials in Civil Engineering, 2004, 16(2): 140-146.

AI Summary AI Mindmap
PDF

108

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/