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Three-Dimensional Numerical Evaluation of Influence Factors of Mechanical Properties of Asphalt Mixture

Published online by Cambridge University Press:  09 August 2012

S. F. Yang
Affiliation:
School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China
X. H. Yang*
Affiliation:
School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China
A. Y. Yin
Affiliation:
Hubei Key laboratory of Engineering Structural Analysis and Safety Assessment, Wuhan 430074, China
W. Jiang
Affiliation:
Hubei Key laboratory of Engineering Structural Analysis and Safety Assessment, Wuhan 430074, China
*
*corresponding author ([email protected])
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Abstract

Heterogeneous asphalt mixture is treated as a two-phase composite consisting of asphalt mastic, namely a mixture of asphalt and fine aggregates, and coarse aggregates in this paper. A novel three-dimensional (3D) random modeling frame for asphalt mixture is developed, and as its applications, some numerical samples involving various polyhedric coarse aggregates with given gradations are generated. Viscoelastic asphalt mastic is simply characterized by the generalized Maxwell model whose parameters are determined by fitting the uniaxial compressive creep experimental data of asphalt mastic. After validation, the 3D random numerical samples are used to perform a series of numerical experiments in order to evaluate the influences of coarse aggregate distribution, content, average size, size deviation, shape and loading rate on the mechanical behaviors of asphalt mixture quantitatively. Finally, some important conclusions are given.

Type
Articles
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2012

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References

REFERENCES

1. Li, G., Li, Y., Metcalf, J. B. and Pang, S., “Elastic Modulus Prediction of Asphalt Concrete,” Journal of Materials in Civil Engineering, 11, pp. 236241 (1999)CrossRefGoogle Scholar
2. Bandyopadhyaya, R., Das, A. and Basu, S., “Numerical Simulation of Mechanical Behaviour phalt Mix,” Construction and Building Materials, 22, pp. 10511058 (2008).CrossRefGoogle Scholar
3. 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. 163173 (2007).CrossRefGoogle Scholar
4. You, Z. P., Adhikari, S. and Dai, Q. L., “Three-Dimensional Discrete Element Models for Asphalt Mixtures,” Journal of Engineering Mechanics, 134, pp. 10531063 (2008).Google Scholar
5. Schlangen, E. and Garboczi, E. J., “Fracture Simulations of Concrete Using Lattice Models: Computational Aspects,” Engineering Fracture Mechanics, 57, pp. 319332 (1997).CrossRefGoogle Scholar
6. Spagnoli, A., “A Micromechanical Lattice Model to Describe the Fracture Behaviour of Engineered Cementitious Composites,” Computational Materials Science, 46, pp. 714 (2009).CrossRefGoogle Scholar
7. 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. 155157 (2008).Google Scholar
8. Fu, G. and Dekelbab, W., “3-D Random Packing of Polydisperse Particles and Concrete Aggregate Grading,” Powder Technology, 133, pp. 147155 (2003).CrossRefGoogle Scholar
9. 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. 172178 (2007).CrossRefGoogle Scholar
10. Wang, Z. M., Kwan, A. K. H. and Chan, H. C., “Mesoscopic Study of Concrete I: Generation of Random Aggregate Structure and Finite Element Mesh,” Computer & Structures, 70, pp. 533544 (1999).Google Scholar
11. Comby-Peyrot, I., Bernard, F., Bouchard, P., Bay, F. and Garcia-Diaz, E., “Development and Validation of a 3D Computational Tool to Describe Concrete Behaviour at Mesoscale: Application to the Alkali-Silica Reaction,” Computational Materials Science, 46, pp. 11631177 (2009).CrossRefGoogle Scholar
12. Xu, R., Yang, X. H., Yin, A. Y., Yang, S. H. and Ye, Y., “A Three-Dimensional Aggregate Generation and Packing Algorithm for Modeling Asphalt Mixture with Graded Aggregates,” Journal of Mechanics, 26, pp. 165171 (2010).CrossRefGoogle Scholar
13. Rocco, C. G. and Elices, M., “Effect of Aggregate Shape on the Mechanical Properties of a Simple Concrete,” Engineering Fracture Mechanics, 76, pp. 286298 (2009).CrossRefGoogle Scholar
14. Kwan, A. K. H. and Mora, C. F., “Effect of Various Shape Parameters on Packing of Aggregate Particles,” Magazine Concrete Research, 53, pp. 91100 (2001).CrossRefGoogle Scholar
15. Li, Y. Q. and Metcalf, J. B., “Two-Step Approach to Prediction of Asphalt Concrete Modulus from Two-Phase Micromechanical Models,” Journal of Materials in Civil Engineering, 17, pp. 407415 (2005).CrossRefGoogle Scholar
16. Itasca Consulting Group Inc., Particle Flow Code in 3 Dimensions, Version 2.0, Minneapolis, MN (2002).Google Scholar
17. Park, S. W. and Kim, Y. R., “Interconversion Between Relaxation Modulus and Creep Compliance for Viscoelastic Solids,” Journal of Materials in Civil Engineering, 11, pp. 7682 (1999).CrossRefGoogle Scholar
18. Paul, B., “Prediction of Elastic Constants of Multiphase Materials,” Transaction of American Institute of Mining Metallurgical and Petroleum Engineers (AIME), 218, pp. 3641 (1960).Google Scholar
19. Yang, J. and Jiang, G. L., “Experimental Study on Properties of Pervious Concrete Pavement Materials,” Cement and Concrete Research, 33, pp. 381386 (2003).Google Scholar
20. Eliceso, M. and Roccoo, C. G., “Effect of Aggregate Size on the Fracture and Mechanical Properties of a Simple Concrete,” Engineering Fracture Mechanics 75, pp. 38393851 (2008).CrossRefGoogle Scholar
21. Saouma, V. E., Broz, J. J., Bruhwiler, E. and Boggs, H. L., “Effect of Aggregate and Specimen Size on Fracture Properties of Dam Concrete,” Journal of Materials in Civil Engineering, 3, pp. 204218 (1991).Google Scholar