Evaluating the aggregate structure in hot-mix asphalt using three-dimensional computer modeling and particle packing simulations

In a hot-mix asphalt (HMA) pavement, the aggregate structure serves as a backbone and is primarily respon- sible for resisting pavement distresses. A sound aggregate structure implies optimal packing of aggregates providing both particle-particle contact and sufficient void space to fill in asphalt. In this paper, three-dimensional particle pack- ing concepts are applied to the study of aggregate structure in HMA. A sequential deposition packing algorithm was used for packing typical aggregate gradations. The packing fraction and the distribution of particle-particle contacts in the simulated compact were studied. The packing simulation gave satisfactory results when aggregates above a certain minimum size were considered. Regression models were established to estimate the coordination number of any size aggregate in the compact. Such studies, in conjunction with the recent advances in X-ray computed tomography imag- ing techniques and discrete element modeling (DEM) simulations, have tremendous potential to help develop a deeper understanding of the HMA aggregate structure, develop and optimize the various parameters that describe the aggregate structure, and relate these parameters to the performance of pavements in a scientific way.

[1]  E. Garboczi,et al.  Computer simulation of the diffusivity of cement-based materials , 1992 .

[2]  J A Scherocman,et al.  STONE MASTIC ASPHALT REDUCES RUTTING , 1991 .

[3]  Naga Shashidhar,et al.  X-Ray Tomography of Asphalt Concrete , 1999 .

[4]  P. Cundall,et al.  A discrete numerical model for granular assemblies , 1979 .

[5]  G. Bierwagen,et al.  Studies of the Effects of Particle Size Distribution on the Packing Efficiency of Particles , 1974 .

[6]  Joe W Button,et al.  Implications of Experimental Measurements and Analyses of the Internal Structure of Hot-Mix Asphalt , 2004 .

[7]  W Ping,et al.  LABORATORY SIMULATION OF FIELD COMPACTION CHARACTERISTICS (PHASE I) , 2003 .

[8]  D. W. Tanner,et al.  Packing Densities of Mixtures of Spheres with Log-normal Size Distributions , 1972 .

[9]  M. J. Powell Computer-simulated random packing of spheres , 1980 .

[10]  T Harman,et al.  Characterization of aggregates and asphalt concrete using x-ray computerized tomography: a state of the art report , 2004 .

[11]  J L McRae Development of the gyratory testing machine and procedures for testing bituminous paving mixtures , 1962 .

[12]  Halil Ceylan,et al.  Using X-ray computed tomography to study paving materials , 2007 .

[13]  N Shashidhar,et al.  INVESTIGATING THE ROLE OF AGGREGATE STRUCTURE IN ASPHALT PAVEMENTS , 2000 .

[14]  Samuel H Carpenter,et al.  The Bailey method of gradation evaluation: the influence of aggregate gradation and packing characteristics on voids in the mineral aggregate , 2001 .

[15]  W. Visscher,et al.  Random Packing of Equal and Unequal Spheres in Two and Three Dimensions , 1972, Nature.

[16]  John E. Haddock,et al.  Method To Ensure Stone-on-Stone Contact in Stone Matrix Asphalt Paving Mixtures , 1997 .

[17]  Luis E. Vallejo,et al.  Porosity influence on the shear strength of granular material–clay mixtures , 2000 .

[18]  Rajib B. Mallick,et al.  EVALUATION OF STONE-ON-STONE CONTACT IN STONE-MATRIX ASPHALT , 1995 .

[19]  J. Troadec,et al.  Uniaxial compression effects on 2D mixtures of hard and soft cylinders , 1986 .

[20]  Christian Veje,et al.  Predictability and granular materials , 1999 .

[21]  G. T. Nolan,et al.  Computer simulation of random packings of spheres with log-normaldistributions , 1993 .

[22]  John E. Haddock,et al.  Designing stone matrix asphalt mixtures: volume II(a) - research results for Part 1 of Phase 1 , 1998 .

[23]  O Abdulshafi,et al.  Laboratory Optimization of Asphalt Concrete Intermediate Course Mixes To Improve Flexible Pavement Performance , 1999 .

[24]  Kasthurirangan Gopalakrishnan,et al.  Attempt at Quantifying the Degree of Compaction in HMA Using Image Analysis , 2005 .

[25]  Logarithmic rate dependence of force networks in sheared granular materials , 2002, Nature.

[26]  Yulong Ding,et al.  Critical state behaviour of granular materials using three dimensional discrete element modelling , 2004 .

[27]  Paul Meakin,et al.  Simple Three-Dimensional Models for Ballistic Deposition with Restructuring , 1987 .

[28]  L. Rothenburg Micromechanics of idealized granular systems. , 1981 .

[29]  William G. Buttlar,et al.  Discrete Element Modeling to Predict the Modulus of Asphalt Concrete Mixtures , 2004 .

[30]  J. D. BERNAL,et al.  Packing of Spheres: Co-ordination of Randomly Packed Spheres , 1960, Nature.

[31]  J. Finney,et al.  An optical machine for measuring sphere coordinates in random packings , 1970 .

[32]  Hong Yong Sohn,et al.  The effect of particle size distribution on packing density , 1968 .

[33]  Richard J. Bathurst,et al.  Micromechanical features of granular assemblies with planar elliptical particles , 1992 .

[34]  Edward J. Garboczi,et al.  Smart and designer structural material systems , 2002 .

[35]  J F Goode,et al.  A NEW GRAPHICAL CHART FOR EVALUATING AGGREGATE GRADATION , 1962 .

[36]  D. Bentz Three-Dimensional Computer Simulation of Portland Cement Hydration and Microstructure Development , 1997 .

[37]  J. Meegoda,et al.  Micromechanical Simulation of Hot Mix Asphalt , 1997 .

[38]  A. Drescher,et al.  Photoelastic verification of a mechanical model for the flow of a granular material , 1972 .

[39]  D. Barton,et al.  Strength and signature of force networks in axially compacted sphere and non-sphere granular media: micromechanical investigations , 2005 .

[40]  Kasthurirangan Gopalakrishnan,et al.  Structural Characteristics of Three-Dimensional Random Packing of Aggregates with Wide Size Distribution , 2007 .