Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-25T16:02:40.276Z Has data issue: false hasContentIssue false
  • English
  • Français

A New Approach for Simulation of Hot Mix Asphalt; Numerical and Experimental

Published online by Cambridge University Press:  15 July 2015

M. Vadood ,
M.S. Johari  and
A.R. Rahai
M. Vadood*
Affiliation:
Textile Engineering Department, Amirkabir University of Technology, Tehran, Iran
M.S. Johari
Affiliation:
Textile Engineering Department, Amirkabir University of Technology, Tehran, Iran
A.R. Rahai
Affiliation:
Civil and Environmental Engineering Department, Amirkabir University of Technology, Tehran, Iran
*
*Corresponding author ([email protected])
Get access

Abstract

In this study a novel approach for 3D modeling of cylindrical sample of hot mix asphalt (HMA) is presented. To this end, the cylindrical sample was divided into several slices and using a developed algorithm the processed images were extended to 3D volumetric objects to reconstruct the 3D microstructure of HMA. To evaluate the efficiency of the presented 3D model for prediction of mechanical behavior, HMA was regarded as a two-phase mixture; mastic phase and aggregate phase. The asphalt binder, filler, air voids and fine aggregates were considered as mastic with viscoelastic behavior and the aggregate was considered as an elastic material. Two models (Burger and generalized Kelvin) were studied for determining viscoelastic behavior of mastic. Finally, to verify the model using Finite Element Method (FEM) the behavior of the 3D model was simulated under different uniaxial compressive loads. A good agreement was observed between the simulated results and corresponding experimental data which indicates the efficiency of the proposed model to simulate three-dimensional asphalt.

Keywords

Hot mix asphaltImage processing3D modelingMicrostructure
Type
Research Article
Information
Journal of Mechanics , Volume 31 , Issue 6 , December 2015 , pp. 701 - 711
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1.Airey, G., Collop, A., Zoorob, S. and Elliott, R., “The Influence of Aggregate, Filler and Bitumen on Asphalt Mixture Moisture Damage,” Construction and Building Materials, 22, pp. 2015–2024 (2008).CrossRefGoogle Scholar
2.Sadd, M. H., Dai, Q., Parameswaran, V. and Shukla, A., “Simulation of Asphalt Materials Using Finite Element Micromechanical Model with Damage Mechanics,” Transportation Research Record: Journal of the Transportation Research Board, 1832, pp. 86–95 (2003).Google Scholar
3.Sadd, M. H. and Dai, Q., “A Comparison of Micro-Mechanical Modeling of Asphalt Materials Using Finite Elements and Doublet Mechanics,” Mechanics of Materials, 37, pp. 641–662 (2005).Google Scholar
4.Dai, Q. and You, Z., “Prediction of Creep Stiffness of Asphalt Mixture with Micromechanical Finite-Element and Discrete-Element Models,” Journal of Engineering Mechanics, 133, pp. 163–173 (2007).CrossRefGoogle Scholar
5.Bandyopadhyaya, R., Das, A. and Basu, S., “Numerical Simulation of Mechanical Behaviour of Asphalt Mix,” Construction and Building Materials, 22, pp. 1051–1058 (2008).Google Scholar
6.Mitra, K., Das, A. and Basu, S., “Mechanical Behavior of Asphalt Mix: An Experimental and Numerical Study,” Construction and Building Materials, 27, pp. 545–552 (2012).Google Scholar
7.Džiugys, A. and Peters, B., “A New Approach to Detect the Contact of Two-Dimensional Elliptical Particles,” International Journal for Numerical and Analytical Methods in Geomechanics, 25, pp. 1487–1500 (2001).CrossRefGoogle Scholar
8.Wang, H. and Hao, P., “Numerical Simulation of Indirect Tensile Test Based on the Microstructure of Asphalt Mixture,” Journal of Materials in Civil Engineering, 23, pp. 21–29 (2010).Google Scholar
9.Dai, Q., “Prediction of Dynamic Modulus and Phase Angle of Stone-Based Composites Using a Micro-mechanical Finite-Element Approach,” Journal of Materials in Civil Engineering, 22, pp. 618–627 (2009).Google Scholar
10.Masad, E., Muhunthan, B., Shashidhar, N. and Harman, T., “Internal Structure Characterization of Asphalt Concrete Using Image Analysis,” Journal of Computing in Civil Engineering, 13, pp. 88–95 (1999).Google Scholar
11.Gatchalian, D., Masad, E., Chowdhury, A. and Little, D., “Characterization of Aggregate Resistance to Degradation in Stone Matrix Asphalt Mixtures,” Transportation Research Record, pp. 55–63 (2006).Google Scholar
12.Schlangen, E. and Garboczi, E., “Fracture Simulations of Concrete Using Lattice Models: Computational Aspects,” Engineering Fracture Mechanics, 57, pp. 319–332 (1997).Google Scholar
13.Ince, R., Arslan, A. and Karihaloo, B., “Lattice Modelling of Size Effect in Concrete Strength,” Engineering Fracture Mechanics, 70, pp. 2307–2320 (2003).Google Scholar
14.Yang, S. F., Yang, X. H. and Chen, C. Y., “Simulation of Rheological Behavior of Asphalt Mixture with Lattice Model,” Journal of Central South University of Technology, 15, pp. 155–157 (2008).Google Scholar
15.Bazant, Z. P., Tabbara, M. R., Kazemi, M. T. and Pijaudier-Cabot, G., “Random Particle Model for Fracture of Aggregate or Fiber Composites,” Journal of Engineering Mechanics, 116, pp. 1686–1705 (1990).Google Scholar
16.Fu, G. and Dekelbab, W., “3D Random Packing of Polydisperse Particles and Concrete Aggregate Grading,” Powder Technology, 133, pp. 147–155 (2003).Google Scholar
17.Du, C. B. and Sun, L. G., “Numerical Simulation of Aggregate Shapes of Two-Dimensional Concrete and Its Application,” Journal of Aerospace Engineering, 20, pp. 172–178 (2007).Google Scholar
18.Yin, A., Yang, X., Gao, H. and Zhu, H., “Tensile Fracture Simulation of Random Heterogeneous Asphalt Mixture with Cohesive Crack Model,” Engineering Fracture Mechanics, 92, pp. 40–55 (2012).Google Scholar
19.Yin, A., Yang, X., Yang, S. and Jiang, W., “Mul-tiscale Fracture Simulation of Three-Point Bending Asphalt Mixture Beam Considering Material Heterogeneity,” Engineering Fracture Mechanics, 78, pp. 2414–2428 (2011).Google Scholar
20.Yin, A., Yang, X., Zeng, G. and Gao, H., “Fracture Simulation of Pre-Cracked Heterogeneous Asphalt Mixture Beam with Movable Three-Point Bending Load,” Construction and Building Materials, 65, pp. 232–242 (2014).Google Scholar
21.Zeng, G., Yang, X., Yin, A. and Bai, F., “Simulation of Damage Evolution and Crack Propagation in Three-Point Bending Pre-Cracked Asphalt Mixture Beam,” Construction and Building Materials, 55, pp. 323–332 (2014).Google Scholar
22.Collop, A. C., McDowell, G. R. and Lee, Y. W., “Modelling Dilation in an Idealised Asphalt Mixture Using Discrete Element Modelling,” Granular Matter, 8, pp. 175–184 (2006).Google Scholar
23.Mo, L., Huurman, M., Wu, S. and Molenaar, A., “2D and 3D Meso-Scale Finite Element Models for Ravelling Analysis of Porous Asphalt Concrete,” Finite Elements in Analysis and Design, 44, pp. 186–196 (2008).Google Scholar
24.Xu, R., Yang, X., Yin, A., Yang, S. and Ye, Y., “A Three-Dimensional Aggregate Generation and Packing Algorithm for Modeling Asphalt Mixture with Graded Aggregates,” Journal of Mechanics, 26, pp. 165–171 (2010).Google Scholar
25.Yang, S. F., Yang, X. H., Yin, A. Y. and Jiang, W., “Three-Dimensional Numerical Evaluation of Influence Factors of Mechanical Properties of Asphalt Mixture,” Journal of Mechanics, 28, pp. 569–578 (2012).Google Scholar
26.Shashidhar, N. and Gopalakrishnan, K., “Evaluating the Aggregate Structure in Hot-Mix Asphalt Using Three-Dimensional Computer Modeling and Particle Packing Simulations,” Canadian Journal of Civil Engineering, 33, pp. 945–954 (2006).Google Scholar
27.Coleri, E., Harvey, J. T., Yang, K. and Boone, J. M., “Development of a Micromechanical Finite Element Model from Computed Tomography Images for Shear Modulus Simulation of Asphalt Mixtures,” Construction and Building Materials, 30, pp. 783–793 (2012).Google Scholar
28.You, T., Abu Al-Rub, R. K., Darabi, M. K., Masad, E. A. and Little, D. N., “Three-Dimensional Microstructural Modeling of Asphalt Concrete Using a Unified Viscoelastic-Viscoplastic-Viscodamage Model,” Construction and Building Materials, 28, pp. 531–548 (2012).Google Scholar
29.Breu, H., Gil, J., Kirkpatrick, D. and Werman, M., “Linear Time Euclidean Distance Transform Algorithms, Pattern Analysis and Machine Intelligence,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 17, pp. 529–533 (1995).Google Scholar
30.Vadood, M., Johari, M. S. and Rahaei, A. R., “Introducing a Simple Method to Determine Aggregate Gradation of Hot Mix Asphalt Using Image Processing,” International Journal of Pavement Engineering, 15, pp. 142–150 (2013).Google Scholar
31.Fang, Q. and Boas, D. A., “Tetrahedral Mesh Generation from Volumetric Binary and Grayscale Images,” Proceedings of 6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, Massachusetts, U.S.A, pp. 1142–1145 (2009).Google Scholar
32.Kim, Y. R. and Little, D., “Linear Viscoelastic Analysis of Asphalt Mastics,” Journal of Materials in Civil Engineering, 16, pp. 122–132 (2004).Google Scholar
33.Park, S. W. and Schapery, R. A., “Methods of Interconversion Between Linear Viscoelastic Material Functions. Part I—A Numerical Method Based on Prony Series,” International Journal of Solids and Structures, 36, pp. 1653–1675 (1999).Google Scholar
34.Abbas, A., Papagiannakis, A. and Masad, E., “Linear and Nonlinear Viscoelastic Analysis of the Microstructure of Asphalt Concretes,” Journal of Materials in Civil Engineering, 16, pp. 133–139 (2004).Google Scholar