Frontiers of Structural and Civil Engineering >
Effect of anisotropic characteristics on the mechanical behavior of asphalt concrete overlay
Received date: 17 Aug 2017
Accepted date: 18 Nov 2017
Published date: 04 Jan 2019
Copyright
Asphalt concrete (AC) overlays placed over old asphalt pavement have become an alternative to repairing and reinforcing pavements. The strength contributed by the AC overlay is strongly influenced by the anisotropic properties of the pavement material. This study was conducted to analyze the influence of anisotropy, modulus gradient properties, and the condition of the AC overlay and old pavement contact plane on the mechanical behaviors of AC overlays, as well as to quantify the influence of the degree of anisotropy on the mechanical behaviors of AC overlay by a sensitivity analysis (SA). The mechanical behaviors of the AC overlay were numerically obtained using the three-dimensional finite element method with the aid of ABAQUS, a commercial program. Variations in the AC overlay’s modulus as a function of temperature as well as the contact state between the AC overlay and AC layer were considered. The SA is based on standardized regression coefficients method. Comparing the mechanical behavior in terms of surface deflection, stress, and strain of the anisotropy model against those corresponding to the isotropic model under static loads show that the anisotropic properties had greater effects on the mechanical behavior of the AC overlay. In addition, the maximum shear stress in the AC overlay was the most significant output parameter affected by the degree of anisotropy. Therefore, future research concerning the reinforcement and repair of pavements should consider the anisotropic properties of the pavement materials.
Lingyun YOU, Zhanping YOU, Kezhen YAN. Effect of anisotropic characteristics on the mechanical behavior of asphalt concrete overlay[J]. Frontiers of Structural and Civil Engineering, 2019, 13(1): 110-122. DOI: 10.1007/s11709-018-0476-4
1 |
Dave E V, Buttlar W G. Thermal reflective cracking of asphalt concrete overlays. International Journal of Pavement Engineering, 2010, 11(6): 477–488
|
2 |
Dempsey B. Development and performance of interlayer stress-absorbing composite in asphalt concrete overlays. Transportation Research Record: Journal of the Transportation Research Board, 2002, 1809: 175–183
|
3 |
Khodaii A, Fallah S, Moghadas Nejad F. Effects of geosynthetics on reduction of reflection cracking in asphalt overlays. Geotextiles and Geomembranes, 2009, 27(1): 1–8
|
5 |
Wang Y. The effects of using reclaimed asphalt pavements (RAP) on the long-term performance of asphalt concrete overlays. Construction & Building Materials, 2016, 120: 335–348
|
4 |
Kuo C M, Hsu T R. Traffic induced reflective cracking on pavements with geogrid-reinforced asphalt concrete overlay. In: Proceedings of the 82th Annual Meeting at the Transportation Research Board (CD-ROM). 2003
|
6 |
Miller S, Hartmann T, Dorée A. Measuring and visualizing hot mix asphalt concrete paving operations. Automation in Construction, 2011, 20(4): 474–481
|
7 |
Adu-Osei A, Little D, Lytton R. Cross-anisotropic characterization of unbound granular materials. Transportation Research Record: Journal of the Transportation Research Board, 2001, 1757: 82–91
|
8 |
Kim S H, Little D, Masad E. Simple methods to estimate inherent and stress-induced anisotropy of aggregate base. Transportation Research Record: Journal of the Transportation Research Board, 2005, 1913: 24–31
|
9 |
Wang L, Hoyos L R, Wang J, Voyiadjis G, Abadie C. Anisotropic properties of asphalt concrete: Characterization and implications for pavement design and analysis. Journal of Materials in Civil Engineering, 2005, 17(5): 535–543
|
10 |
Yan K, Xu H, You L. Analytical layer-element approach for wave propagation of transversely isotropic pavement. International Journal of Pavement Engineering, 2016, 17(3): 275–282
|
11 |
Masad S, Little D, Masad E. Analysis of flexible pavement response and performance using isotropic and anisotropic material properties. Journal of Transportation Engineering, 2006, 132(4): 342–349
|
12 |
Oh J H, Lytton R, Fernando E. Modeling of pavement response using nonlinear cross-anisotropy approach. Journal of Transportation Engineering, 2006, 132(6): 458–468
|
13 |
Mao Y, Robertson J M, Mu X, Mather P T, Qi H J. Thermoviscoplastic behaviors of anisotropic shape memory elastomeric composites for cold programmed non-affine shape change. Journal of the Mechanics and Physics of Solids, 2015, 85: 219–244
|
14 |
Hamdia K M, Msekh M A, Silani M, Vu-Bac N, Zhuang X, Nguyen-Thoi T, Rabczuk T. Uncertainty quantification of the fracture properties of polymeric nanocomposites based on phase field modeling. Composite Structures, 2015, 133: 1177–1190
|
15 |
Vu-Bac N, Rafiee R, Zhuang X, Lahmer T, Rabczuk T. Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters. Composites. Part B, Engineering, 2015, 68: 446–464
|
16 |
Hamdia K M, Silani M, Zhuang X, et al. Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions. International Journal of Fracture, 2017, 206(2): 215–227
|
17 |
Hamdia K M, Silani M, Zhuang X, He P, Rabczuk T. Stochastic predictions of bulk properties of amorphous polyethylene based on molecular dynamics simulations. Mechanics of Materials, 2014, 68: 70–84
|
18 |
Nazarian S, Alvarado G. Impact of temperature gradient on modulus of asphaltic concrete layers. Journal of Materials in Civil Engineering, 2006, 18(4): 492–499
|
19 |
Arulrajah A, Disfani M M, Horpibulsuk S, Suksiripattanapong C, Prongmanee N. Physical properties and shear strength responses of recycled construction and demolition materials in unbound pavement base/subbase applications. Construction & Building Materials, 2014, 58: 245–257
|
20 |
Pasetto M, Baldo N. Experimental evaluation of high performance base course and road base asphalt concrete with electric arc furnace steel slags. Journal of Hazardous Materials, 2010, 181(1–3): 938–948
|
21 |
Ozer H, Al-Qadi I L, Wang H, Leng Z. Characterisation of interface bonding between hot-mix asphalt overlay and concrete pavements: Modelling and in-situ response to accelerated loading. International Journal of Pavement Engineering, 2012, 13(2): 181–196
|
22 |
Guo C, Wang F, Zhong Y. Assessing pavement interfacial bonding condition. Construction & Building Materials, 2016, 124: 85–94
|
23 |
Feng Y, Okamoto R J, Namani R, Genin G M, Bayly P V. Measurements of mechanical anisotropy in brain tissue and implications for transversely isotropic material models of white matter. Journal of the Mechanical Behavior of Biomedical Materials, 2013, 23: 117–132
|
24 |
Sone H, Zoback M D. Mechanical properties of shale-gas reservoir rocks—Part 1: Static and dynamic elastic properties and anisotropy. Geophysics, 2013, 78(5): D381–D392
|
25 |
Masad E, Tashman L, Somedavan N, Little D. Micromechanics-based analysis of stiffness anisotropy in asphalt mixtures. Journal of Materials in Civil Engineering, 2002, 14(5): 374–383
|
26 |
Motola Y, Uzan J. Anisotropy of field-compacted asphalt concrete material. Journal of Testing and Evaluation, 2007, 35(1): 103–105
|
27 |
Ju D. Anisotropy of asphalt concrete and the influence in pavement. Dissertation for the Doctoral Degree. Nanjing: Southeast University, 2011 (in Chinese)
|
28 |
Zhang Q J, Huang Z Y, Liu Z. Analysis of gradient modulus of asphalt pavements. Low Temperature Architecture Technology, 2011, 33: 48–50 (in Chinese)
|
29 |
Buttlar W G, Paulino G H, Song S H. Application of graded finite elements for asphalt pavements. Journal of Engineering Mechanics, 2006, 132(3): 240–249
|
30 |
Li F, Sun L, Fang J. Pavement structure shear stress analysis considering stiffness gradients of asphalt course. Transportation Science and Technology, 2005, (4): 1–3 (in Chinese)
|
31 |
Mu F, Vandenbossche J. Establishing effective linear temperature gradients for ultrathin bonded concrete overlays on asphalt pavements. Transportation Research Record: Journal of the Transportation Research Board, 2012, 2305: 24–31
|
32 |
Shen J A. Road Performance of Asphalt and Asphalt Mixture. Beijing: China Communications Press, 2001 (in Chinese)
|
33 |
Rushing J F, Little D N. Static creep and repeated load as rutting performance tests for airport HMA mix design. Journal of Materials in Civil Engineering, 2014, 26(9): 04014055
|
34 |
Rushing J F, Little D N, Garg N. Selecting a rutting performance test for airport asphalt mixture design. Road Materials and Pavement Design, 2014, 15(Suppl 1): 172–194
|
35 |
Rushing J F, Little D N. Creep and repeated creep-recovery as rutting performance tests for airport HMA mix design. In: Proceedings of Transportation Research Board 2013 Annual Meeting. Washington, 2013
|
36 |
Sun L. Structural Behavior Theory of Asphalt Pavements. Beijing: China Communications Press, 2005 (in Chinese)
|
37 |
You L, Yan K, Hu Y, Zollinger D G. Spectral element solution for transversely isotropic elastic multi-layered structures subjected to axisymmetric loading. Computers and Geotechnics, 2016, 72: 67–73
|
38 |
Armero F, Kim J. Three-dimensional finite elements with embedded strong discontinuities to model material failure in the infinitesimal range. International Journal for Numerical Methods in Engineering, 2012, 91(12): 1291–1330
|
39 |
Mahmoud E, Saadeh S, Hakimelahi H, Harvey J. Extended finite-element modelling of asphalt mixtures fracture properties using the semi-circular bending test. Road Materials and Pavement Design, 2014, 15(1): 153–166
|
40 |
Jiang G, Li J, Tang G. A modeling method of the bolted joint structure and analysis of its stiffness characteristics. In: Lei F, Xu Q, Zhang G, eds. Machinery, Materials Science and Engineering Applications. Boca Raton: CRC Press/Balkema, 2016, 229–236
|
41 |
de Melo V V, Carosio G L C. Evaluating differential evolution with penalty function to solve constrained engineering problems. Expert Systems with Applications, 2012, 39(9): 7860–7863
|
42 |
Albrecher H, Cheung E C, Thonhauser S. Randomized observation periods for the compound Poisson risk model: The discounted penalty function. Scandinavian Actuarial Journal, 2013, 2013(6): 424–452
|
43 |
Ryzhii V, Satou A, Otsuji T, Ryzhii M, Mitin V, Shur M S. Dynamic effects in double graphene-layer structures with inter-layer resonant-tunnelling negative conductivity. Journal of Physics. D, Applied Physics, 2013, 46(31): 315107
|
44 |
de Beer M, Maina J, Netterberg F. Mechanistic modelling of weak interlayers in flexible and semi-flexible road pavements: Part 2. Journal of the South African Institution of Civil Engineering, 2012, 54(1): 43–54
|
45 |
Canestrari F, Ferrotti G, Lu X, Millien A, Partl M N, Petit C, Phelipot-Mardelé A, Piber H, Raab C. Mechanical testing of interlayer bonding in asphalt pavements. In: Partl M N, Bahia H U, Canestrar F, de la Roche C, Di Benedetto H, Piber H, Sybilski D, eds. Advances in Interlaboratory Testing and Evaluation of Bituminous Materials. Dordrecht: Springer, 2013, 303–360
|
46 |
Mhanna M, Sadek M, Shahrour I. Numerical modeling of traffic-induced ground vibration. Computers and Geotechnics, 2012, 39: 116–123
|
47 |
Xia K, Yang Y. Three-dimensional finite element modeling of tire/ground interaction. International Journal for Numerical and Analytical Methods in Geomechanics, 2012, 36(4): 498–516
|
48 |
Hu C, Ma J, Yu Y, Luo Y. Optimal design on dowel length for cement concrete pavement. International Journal of Pavement Research and Technology, 2016, 9(6): 414–423
|
49 |
Thakur J K, Han J, Pokharel S K, Parsons R L. Performance of geocell-reinforced recycled asphalt pavement (RAP) bases over weak subgrade under cyclic plate loading. Geotextiles and Geomembranes, 2012, 35: 14–24
|
50 |
Khavassefat P, Jelagin D, Birgisson B. A computational framework for viscoelastic analysis of flexible pavements under moving loads. Materials and Structures, 2012, 45(11): 1655–1671
|
51 |
You L, Yan K, Hu Y, Liu J, Ge D. Spectral element method for dynamic response of transversely isotropic asphalt pavement under impact load. Road Materials and Pavement Design, 2018, 19(1): 223–238
|
52 |
Gajewski J, Sadowski T. Sensitivity analysis of crack propagation in pavement bituminous layered structures using a hybrid system integrating artificial neural networks and finite element method. Computational Materials Science, 2014, 82: 114–117
|
53 |
Lee J W, Lee M G, Barlat F. Finite element modeling using homogeneous anisotropic hardening and application to spring-back prediction. International Journal of Plasticity, 2012, 29: 13–41
|
54 |
Kim S K, Lee C S, Kim J H, Kim M H, Lee J M. Computational evaluation of resistance of fracture capacity for SUS304L of liquefied natural gas insulation system under cryogenic temperatures using ABAQUS user-defined material subroutine. Materials & Design, 2013, 50: 522–532
|
55 |
Vu-Bac N, Lahmer T, Zhang Y, Zhuang X, Rabczuk T. Stochastic predictions of interfacial characteristic of polymeric nanocomposites (PNCs). Composites. Part B, Engineering, 2014, 59: 80–95
|
56 |
Vu-Bac N, Silani M, Lahmer T, Zhuang X, Rabczuk T. A unified framework for stochastic predictions of mechanical properties of polymeric nanocomposites. Computational Materials Science, 2015, 96: 520–535
|
57 |
Vu-Bac N, Lahmer T, Zhuang X, Nguyen-Thoi T, Rabczuk T. A software framework for probabilistic sensitivity analysis for computationally expensive models. Advances in Engineering Software, 2016, 100: 19–31
|
/
〈 |
|
〉 |