Asphalt-Mixture Force Chains Length Distribution and Skeleton Composition Investigation Based on Computational Granular Mechanics
Publication: Journal of Materials in Civil Engineering
Volume 33, Issue 4
Abstract
In asphalt mixtures, external loading transfer paths can be deemed as force chains. The force chains difference can be used to evaluate skeleton structure. In this study, various asphalt mixture virtual specimens were established via discrete-element method (DEM) to investigate force chains length distribution and skeleton composition. Results indicate that, although dense-graded asphalt mixtures (AC) generate a large number of force chains compared with stone mastic asphalt (SMA) and open-graded asphalt friction course (OGFC), most of them are shorter length force chains that are not conductive to transfer external loading. When asphalt mixtures were penetrated to the same depth, asphalt mixtures with smaller nominal maximum aggregate size (NMAS) need more force chains to transfer external loading. In asphalt mixtures, the increase of NMAS can help to form longer length force chains. The passing percentage of 2.36 mm (P2.36) increase can lead to form more short length force chains. In asphalt mixtures, less than 50% quantity aggregates participate in skeleton composition. The aggregates within 2.36 mm participate in skeleton composition for AC16. Skeleton composition difference between AC and skeleton type asphalt mixtures is mainly affected by P2.36.
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Data Availability Statement
No data, models, or code were generated or used during the study.
Acknowledgments
This study was supported by National Key Research and Development Program of China (2018YFB1600200). The authors gratefully acknowledge their financial support.
References
Cai, X., K. H. Wu, W. K. Huang, and C. Wan. 2018. “Study on the correlation between aggregate skeleton characteristics and rutting performance of asphalt mixture.” Constr. Build. Mater. 179 (Aug): 294–301. https://doi.org/10.1016/j.conbuildmat.2018.05.153.
Chang, M., P. Huang, J. Pei, J. Zhang, and B. Zheng. 2017. “Quantitative analysis on force chain of asphalt mixture under haversine loading.” Adv. Mater. Sci. Eng. 2017: 1–7. https://doi.org/10.1155/2017/7128602.
Chen, Y., and Z. Li. 2013. “Meso-structure of crumb rubber asphalt mixture based on discrete element method.” J. Harbin Inst. Technol. 45 (4): 116–121.
Coenen, A. R., M. E. Kutay, N. R. Sefidmazgi, and H. U. Bahia. 2012. “Aggregate structure characterisation of asphalt mixtures using two-dimensional image analysis.” Road Mater. Pavement Des. 13 (3): 433–454. https://doi.org/10.1080/14680629.2012.711923.
Ding, X., T. Ma, and X. Huang. 2019. “Discrete-element contour-filling modeling method for micromechanical and macromechanical analysis of aggregate skeleton of asphalt mixture.” J. Transp. Eng. Part B: Pavements 145 (1): 04018056. https://doi.org/10.1061/JPEODX.0000083.
Dondi, G., A. Simone, and V. Vignali. 2012a. “Discrete particle element analysis of aggregate interaction in granular mixes for asphalt: Combined DEM and experimental study.” In Proc., 7th RILEM Int. Conf. on Cracking in Pavements. Berlin: Springer.
Dondi, G., A. Simone, V. Vignali, and G. Manganelli. 2012b. “Numerical and experimental study of granular mixes for asphalts.” Powder Technol. 232 (Dec): 31–40. https://doi.org/10.1016/j.powtec.2012.07.057.
Jiang, J., F. Ni, L. Gao, and L. Yao. 2017a. “Effect of the contact structure characteristics on rutting performance in asphalt mixtures using 2D imaging analysis.” Constr. Build. Mater. 136 (Apr): 426–435. https://doi.org/10.1016/j.conbuildmat.2016.12.210.
Jiang, J., F. Ni, L. Yao, and X. Cui. 2017b. “Evaluating the mastic distribution of asphalt mixtures based on a new thickness threshold using 2D image planers.” Road Mater. Pavement Des. 19 (6): 1422–1435. https://doi.org/10.1080/14680629.2017.1323001.
Liu, G., D. Han, and Y. Zhao. 2020a. “Quantitative investigation of aggregate skeleton force chains of asphalt mixtures based on computational granular mechanics.” Adv. Civ. Eng. 2020: 1–14. https://doi.org/10.1155/2020/2196503.
Liu, G., D. Han, Y. Zhao, and J. Zhang. 2020b. “Effects of asphalt mixture structure types on force chains characteristics based on computational granular mechanics.” Int. J. Pavement Eng. https://doi.org/10.1080/10298436.2020.1784894.
Liu, G., Y. Jia, Y. Pan, T. Yang, Y. Zhao, and J. Zhang. 2020c. “Quantitative comparison of evaluation indices for asphalt—Filler interaction ability within filler critical volume fraction.” Road Mater. Pavement Des. 21 (4): 906–926. https://doi.org/10.1080/14680629.2018.1531054.
Liu, G., Y. Pan, Y. Zhao, J. Zhou, J. Li, and D. Han. 2020d. “Research on asphalt mixture force chains identification criteria based on computational granular mechanics.” Can. J. Civ. Eng. https://doi.org/10.1139/cjce-2020-0021.
Liu, G., Y. Zhao, J. Zhou, J. Li, T. Yang, and J. Zhang. 2017. “Applicability of evaluation indices for asphalt and filler interaction ability.” Constr. Build. Mater. 148 (Sep): 599–609. https://doi.org/10.1016/j.conbuildmat.2017.05.089.
Ma, T., D. Zhang, Y. Zhang, and J. Hong. 2016. “Micromechanical response of aggregate skeleton within asphalt mixture based on virtual simulation of wheel tracking test.” Constr. Build. Mater. 111 (May): 153–163. https://doi.org/10.1016/j.conbuildmat.2016.02.104.
MOTPRC (Ministry of Transport of the People’s Republic of China). 2004. Technical specification for construction of highway asphalt pavement. JTG F40. Beijing: China Communication Press.
MOTPRC (Ministry of Transport of the People’s Republic of China). 2007. Test methods of soils for highway engineering. Beijing: China Communication Press.
MOTPRC (Ministry of Transport of the People’s Republic of China). 2017. Specifications for design of highway asphalt pavement. Beijing: China Communication Press.
Pan, Y., J. Li, T. Yang, G. Liu, J. Zhou, P. Guo, and Y. Zhao. 2020. “Optimization of gradation design of recycled asphalt mixtures based on fractal and Mohr-Coulomb theories.” Constr. Build. Mater. 248 (Jul): 118649. https://doi.org/10.1016/j.conbuildmat.2020.118649.
Sefidmazgi, N. R., and H. U. Bahia. 2014. “Effect of compaction conditions on aggregate packing using 2-dimensional image analysis and the relation to performance of HMA.” Mater. Struct. 47 (8): 1313–1324. https://doi.org/10.1617/s11527-014-0275-x.
Sefidmazgi, N. R., P. Teymourpour, and H. U. Bahia. 2013. “Effect of particle mobility on aggregate structure formation in asphalt mixtures.” Supplement, Road Mater. Pavement Des. 14 (S2): 16–34. https://doi.org/10.1080/14680629.2013.812844.
Shi, L., and D. Wang. 2017. “Evaluation indexes of asphalt mixture main skeleton based on digital image processing.” China J. Highway Transp. 30 (5): 52–58.
Shi, L., D. Wang, X. Cai, and Z. Y. Wu. 2014. “Distribution characteristics of coarse aggregate contacts based on digital image processing technique.” China J. Highway Transp. 27 (8): 23–31.
Shi, L.-W., D. W. Wang, C. Xu, and H.-H. Liang. 2015. “Investigation into meso performance of asphalt mixture skeleton based on discrete element method.” J. South China Univ. Technol. (Nat. Sci. Ed.) 43 (10): 50–56.
Si, C., X. Zhou, Z. You, Y. He, E. Chen, and R. Zhang. 2019. “Micro-mechanical analysis of high modulus asphalt concrete pavement.” Constr. Build. Mater. 220 (Sep): 128–141. https://doi.org/10.1016/j.conbuildmat.2019.06.019.
Sun, Q., F. Jin, J. Liu, and G. Zhang. 2010. “Understanding force chains in dense granular materials.” Int. J. Mod. Phys. B 24 (29): 5743–5759. https://doi.org/10.1142/S0217979210055780.
Sun, Y., J. Chen, B. Pan, X. Shu, and B. Huang. 2017. “Three-dimensional micromechanical complex-modulus prediction of asphalt concrete considering the aggregate interlocking effect.” J. Mater. Civ. Eng. 29 (10): 04017153. https://doi.org/10.1061/(ASCE)MT.1943-5533.0001997.
Wang, C., H. Wang, M. Oeser, and M. R. Mohd Hasan. 2020. “Investigation on the morphological and mineralogical properties of coarse aggregates under VSI crushing operation.” Int. J. Pavement Eng. 1–14. https://doi.org/10.1080/10298436.2020.1714043.
Wang, D., and X. Zhao. 2009. “Simulation of uniaxial compression test for asphalt mixture with discrete element method.” J. South China Univ. Technol. (Nat. Sci.) 37 (7): 37–41.
Zhang, J., Z. Fan, H. Wang, W. Sun, J. Pei, and D. Wang. 2019a. “Prediction of dynamic modulus of asphalt mixture using micromechanical method with radial distribution functions.” Mater. Struct. 52 (2): 49. https://doi.org/10.1617/s11527-019-1348-7.
Zhang, J., X. Li, W. Ma, and J. Pei. 2019b. “Characterizing heterogeneity of asphalt mixture based on aggregate particles movements.” Iran. J. Sci. Technol.-Trans. Civ. Eng. 43 (1): 81–91. https://doi.org/10.1007/s40996-018-0125-0.
Zhang, Y., X. Luo, I. Onifade, X. Huang, R. L. Lytton, and B. Birgisson. 2019c. “Mechanical evaluation of aggregate gradation to characterize load carrying capacity and rutting resistance of asphalt mixtures.” Constr. Build. Mater. 205 (Apr): 499–510. https://doi.org/10.1016/j.conbuildmat.2019.01.218.
Zhang, Y., T. Ma, M. Ling, and X. Huang. 2019d. “Mechanistic sieve-size classification of aggregate gradation by characterizing load-carrying capacity of inner structures.” J. Eng. Mech. 145 (9): 04019069. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001640.
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Published In
Journal of Materials in Civil Engineering
Volume 33 • Issue 4 • April 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Jun 2, 2020
Accepted: Aug 28, 2020
Published online: Jan 26, 2021
Published in print: Apr 1, 2021
Discussion open until: Jun 26, 2021
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