Influence of material heterogeneity in the fracture of asphalt mixtures

References

• AASHTO T 322-07 , 2007. Determining the creep compliance and strength of hot-mix asphalt (HMA) using the indirect tensile test device . Washington, DC: American Association of State Highway and Transportation Officials.
   Google Scholar
• AASHTO TP 105-13 , 2013. Standard method for determining the fracture energy of asphalt mixtures using the Semi Circular Bend geometry (SCB) . Washington, DC: American Association of State Highway and Transportation Officials.
   Google Scholar
• ABAQUS , 2014. ABAQUS documentation . Providence, RI : Dassault Systèmes.
   Google Scholar
• Apeagyei, A. , Diefenderfer, B. , and Diefenderfer, S. , 2012. Development of dynamic modulus master curves for hot-mix asphalt with abbreviated testing temperatures. International Journal of Pavement Engineering , 13 (2), 98–109.10.1080/10298436.2011.566612
   Web of Science ®Google Scholar
• Aragao, T. , et al. , 2011. Micromechanical model for heterogeneous asphalt concrete mixtures subjected to fracture failure. Journal of Materials in Civil Engineering , 23 (1), 30–38.10.1061/(ASCE)MT.1943-5533.0000004
   Web of Science ®Google Scholar
• ASTM D7313-07 , 2007. Standard method for determining fracture energy of asphalt aggregate mixtures using the disk-shaped compact tension geometry , West Conshohocken, PA: ASTM International.
   Google Scholar
• Braham, A. , et al. , 2012. Exploring the reduction of laboratory testing for the cohesive zone model for asphalt concrete. International Journal of Pavement Engineering , 13 (4), 350–359.10.1080/10298436.2011.595792
   Web of Science ®Google Scholar
• Camacho, G.T. and Ortiz, M. , 1996. Computational modelling of impact damage in brittle materials. International Journal of Solids and Structures , 33 (20), 2899–2938.10.1016/0020-7683(95)00255-3
   Web of Science ®Google Scholar
• Caro, S. , Castillo, D. , and Sánchez-Silva, M. , 2014. A methodology to model the uncertainty of material properties in asphalt pavements. Journal of Materials in Civil Engineering , 26 (3), 440–448.10.1061/(ASCE)MT.1943-5533.0000841
   Web of Science ®Google Scholar
• Caro, S. , Castillo, D. , and Masad, E. , 2015. Incorporating the heterogeneity of asphalt mixtures in flexible pavements subjected to moisture diffusion. International Journal of Pavement Engineering , 16 (5), 432–444.10.1080/10298436.2015.1007236
   Web of Science ®Google Scholar
• Caro, S. , et al. , 2016. Influence of different sources of microstructural heterogeneity on the degradation of asphalt mixtures. International Journal of Pavement Engineering , doi:10.1080/10298436.2016.1149839.
   Web of Science ®Google Scholar
• Castillo, D. and Caro, S. , 2014a. Probabilistic modeling of air void variability of asphalt mixtures in flexible pavements. Construction and Building Materials , 61, 138–146.10.1016/j.conbuildmat.2014.02.075
   Web of Science ®Google Scholar
• Castillo, D. and Caro, S. , 2014b. Effects of air voids variability on the thermo-mechanical response of asphalt mixtures. International Journal of Pavement Engineering , 15 (2), 110–121.10.1080/10298436.2013.837464
   Web of Science ®Google Scholar
• Castillo, D. , et al. , 2015. Studying the effect of microstructural properties on the mechanical degradation of asphalt mixtures. Construction and Building Materials , 93, 70–83.10.1016/j.conbuildmat.2015.05.108
   Web of Science ®Google Scholar
• Castillo, D. , et al. , 2016. Modelling moisture-mechanical damage in asphalt mixtures using random microstructures and a continuum damage formulation. Road Materials and Pavement Design , 18 (1), 1–21.
   Web of Science ®Google Scholar
• Christensen, D. and Bonaquist, R. , 2005. Practical procedure for developing dynamic modulus master curves for pavement structural design. Transportation Research Record Journal of the Transportation Research Board , 1929 (1), 208–217.
   Google Scholar
• Christensen, D.W. and Bonaquist, R.F. , 2004. Evaluation of indirect tensile test (IDT) procedures for low-temperature performance of hot mix asphalt. Washington, DC: The National Academies, National Cooperative Highway Research Program (NCHRP) Project 530.
   Google Scholar
• Coleri, E. , et al. , 2012. Development of a micromechanical finite element model from computed tomography images for shear modulus simulation of asphalt mixtures. Construction and Building Materials , 30, 783–793.10.1016/j.conbuildmat.2011.12.071
   Web of Science ®Google Scholar
• Dubois, V. , De La Roche, C. , and Burban, O. , 2010. Influence of the compaction process on the air void homogeneity of asphalt mixtures samples. Construction and Building Materials , 24 (6), 885–897.10.1016/j.conbuildmat.2009.12.004
   Web of Science ®Google Scholar
• El-Kadi, A.I. and Williams, S.A. , 2000. Generating two-dimensional fields of autocorrelated, normally distributed parameters by the matrix decomposition technique. Ground Water , 38 (4), 523–532.
   Google Scholar
• Falk, M.L. , Needleman, A. , and Rice, J.R. , 2001. A critical evaluation of dynamic fracture simulation using cohesive surfaces. Journal de Physique IV , 11 (5), 43–50.
   Google Scholar
• Fenton, G.A. , 1999. Random field modeling of CPT data. Journal of Geotechnical and Geoenvironmental Engineering , 125 (6), 486–498.10.1061/(ASCE)1090-0241(1999)125:6(486)
   Web of Science ®Google Scholar
• Fenton, G.A. and Griffiths, D.V. , 2008. Risk assessment in geotechnical engineering . Hoboken, NJ: Wiley.10.1002/9780470284704
   Google Scholar
• Hill, B.C. , et al. , 2017. Inverse estimation of cohesive fracture properties of asphalt mixtures using an optimization approach. Experimental Mechanics , 57, 637–648. doi:10.1007/s11340-017-0257-3.
   Web of Science ®Google Scholar
• Huang, B. , Shu, X. , and Zuo, G. , 2013. Using notched semi circular bending fatigue test to characterize fracture resistance of asphalt mixtures. Engineering Fracture Mechanics , 109, 78–88.10.1016/j.engfracmech.2013.07.003
   Web of Science ®Google Scholar
• Kim, H. , 2005. Spatial variability in soils: stiffness and strength . Dissertation (PhD). Georgia Institute of Technology: Atlanta, GA .
   Google Scholar
• Kim, Y.R. and Aragao, T. , 2013. Microstructure modeling of rate-dependent fracture behavior in bituminous paving mixtures. Finite Elements in Analysis and Design , 63, 23–32.10.1016/j.finel.2012.08.004
   Web of Science ®Google Scholar
• Lancaster, I.M. , Khalid, H.A. , and Kougioumtzoglou, I.A. , 2013. Extended FEM modelling of crack propagation using the semi-circular bending test. Construction and Building Materials , 48, 270–277.10.1016/j.conbuildmat.2013.06.046
   Web of Science ®Google Scholar
• Lea, J.D , 2010. The effect of spatial variability on the reliability of pavements . Dissertation (PhD). University of California Davis.
   Google Scholar
• Li, X. and Marasteanu, M.O. , 2005. Cohesive modeling of fracture in asphalt mixtures at low temperatures. International Journal of Fracture , 136 (1–4), 285–308.10.1007/s10704-005-6035-8
   Web of Science ®Google Scholar
• Li, X. , et al. , 2008. Effect of factors affecting fracture energy of asphalt concrete at low temperature. Road materials and pavement design , 9, 397–416.10.1080/14680629.2008.9690176
   Web of Science ®Google Scholar
• Lua, Y.J. and Sues, R.H. , 1996. Probabilistic finite-element analysis of airfield pavements. Transportation Research Record: Journal of the Transportation Research Board , 1540 (1), 29–38.10.3141/1540-05
   Google Scholar
• Luo, Z. , et al. , 2012. Reliability analysis of basal-heave in a braced excavation in a 2-D random field. Computers and Geotechnics , 39, 27–37.10.1016/j.compgeo.2011.08.005
   Web of Science ®Google Scholar
• Marasteanu, M.O. , et al. , 2002. Determining the low-temperature fracture toughness of asphalt mixtures. Transportation Research Record: Journal of the Transportation Research Board , 1789 (1), 191–199.10.3141/1789-21
   Google Scholar
• Masad, E. , et al. , 2002. Characterization of air void distribution in asphalt mixes using X-ray computed tomography. Journal of Materials in Civil Engineering , 14 (2), 122–129.10.1061/(ASCE)0899-1561(2002)14:2(122)
   Web of Science ®Google Scholar
• Molenaar, A.A.A. , et al. , 2002. Semi-circular bending test: simple but useful? Journal of the Association of Asphalt Paving Technologists , 71, 795–815.
   Google Scholar
• Muraya, P.M. , 2007. Homogeneous test specimens from gyratory compaction. International Journal of Pavement Engineering , 8 (3), 225–235.10.1080/10298430701289323
   Google Scholar
• Park, K. and Paulino, G.H. , 2011. Cohesive zone models: a critical review of traction-separation relationships across fracture surfaces. Applied Mechanics Reviews , 64, 060802-1–060801-20.
   Web of Science ®Google Scholar
• Partl, A. , Flisch, A. , and Jönsson, M. , 2003. Gyratory compaction analysis with computer tomography. Road Materials and Pavement Design , 4, 401–422.10.1080/14680629.2003.9689956
   Google Scholar
• Song, S. , Paulino, G. , and Buttlar, W. , 2006. Simulation of crack propagation in asphalt concrete using an intrinsic cohesive zone model. Journal of Engineering Mechanics , 132 (11), 1215–1223.10.1061/(ASCE)0733-9399(2006)132:11(1215)
   Web of Science ®Google Scholar
• Tashman, L. , et al. , 2002. X-ray tomography to characterize air void distribution in superpave gyratory compacted specimens. International Journal of Pavement Engineering , 3, 19–28.10.1080/10298430290029902a
   Google Scholar
• Vanmarcke, E. , 1983. Random fields: analysis and synthesis . Cambridge, MA: MIT Press.
   Google Scholar
• Wagoner, M. , Buttlar, W. , and Paulino, G. , 2005. Development of a single-edge notched beam test for asphalt concrete mixtures. Journal of Testing and Evaluation , 33 (6), 452–460.
   Web of Science ®Google Scholar
• Wagoner, M. , Kim, H. , and Buttlar, W. , 2008. Simulation of fracture behavior in asphalt concrete using a heterogeneous cohesive zone discrete element model. Journal of Materials in Civil Engineering , 20 (8), 552–563.
   Web of Science ®Google Scholar
• Ying, H. , et al. , 2014. Heterogeneous finite-element modeling of the dynamic complex modulus test of asphalt mixture using X-ray computed tomography. Journal of Materials in Civil Engineering , 26 (9), 1–7. doi:10.1061/(ASCE)MT.1943-5533.0000949
   Web of Science ®Google Scholar
• You, Z. , Adhikari, S. , and Kutay, E. , 2009. Dynamic modulus simulation of the asphalt concrete using the X-ray computed tomography images. Materials and Structures , 42 (5), 617–630.10.1617/s11527-008-9408-4
   Web of Science ®Google Scholar
• Yun, T. , Underwood, S. , and Kim, R. , 2010. Time-temperature superposition for HMA with growing damage and permanent strain in confined tension and compression. Journal of Materials in Civil Engineering , 22 (5), 415–422.10.1061/(ASCE)MT.1943-5533.0000039
   Web of Science ®Google Scholar
• Zhang, Z. and Paulino, G.H. , 2005. Cohesive zone modeling of dynamic failure in homogeneous and functionally graded materials. International Journal of Plasticity , 21 (6), 1195–1254.10.1016/j.ijplas.2004.06.009
   Web of Science ®Google Scholar
• Zofka, A. , et al. , 2005. Simple method to obtain asphalt binders low temperature properties from asphalt mixtures properties. Journal of the Association of Asphalt Paving Technologists , 74 (2005), 255–282.
   Google Scholar