Chapter
Feb 6, 2024

3D Discrete Element Modeling of Aggregate Homogeneity Influence on Bituminous Mix Shear Strength

Publication: International Conference on Road and Airfield Pavement Technology 2023

ABSTRACT

Homogeneity is one of the principal factors affecting the performance-related properties of bituminous mixes, and affects many performance-related properties of bituminous concrete pavements, for example strength, modulus, and service life. This study aims to investigate the influence of aggregate homogeneity on the bituminous mix shear strength using a 3D discrete element method (DEM). The aggregate homogeneity index that is used to assess the aggregate homogeneity in bituminous mixes, and the uniaxial penetration test that is a test method for bituminous mix shear strength were briefly introduced. The aggregate homogeneities were evaluated by the index. A micromechanical discrete element model for the prediction of bituminous mix shear strength was established using imaging techniques and particle flow code in three dimensions. The influence of aggregate homogeneity on the penetration strength of bituminous mixes was simulated on basis of this model. The obtained results were verified by performing an actual uniaxial penetration test. Results showed that the influence of aggregate homogeneity on the bituminous mix shear strength could be simulated using a 3D DEM. There was a good correlation between the aggregate homogeneity and variation of the uniaxial penetration strengths. Better aggregate homogeneity meant less variation in the uniaxial penetration strengths of bituminous mixes; and vice versa.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Abbas, A., Masad, E., Papagiannakis, A., and Shenoy, A. (2005). “Modelling Asphalt Mastic Stiffness Using Discrete Element Analysis and Micromechanics-based Models.” International Journal of Pavement Engineering, 6(2), 137-146.
American Association of State Highway and Transportation Official (AASHTO) (1997). Segregation: Causes and Cures for Hot Mix Asphalt. Washington DC: AASHTO.
Azari, H. (2005). Effect of Aggregate Inhomogeneity on Mechanical Properties of Asphalt Mixtures. Dissertation (PhD). University of Maryland at College Park.
Bi, Y. F. and Sun, L. J. (2005). “Research on Test Method of Asphalt Mixture’s Shearing Properties.” Journal of Tongji University (Natural Science), 33(8), 1036-1040.
Cai, X. and Wang, D. (2013). “Evaluation of rutting performance of asphalt mixture based on the granular media theory and aggregate contact characteristics.” Road Materials and Pavement Design, 14(2), 325-340.
Chen, X., Huang, B., and Xu, Z. (2006). “Uniaxial penetration testing for shear resistance of hot-mix asphalt mixtures.” Journal of the Transportation Research Board, 1970(1), 116-125.
Coleri, E., Harvey, J. T., Yang, K., Boone, J. M. (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.
Cong, L., Shi, J., Wang, T., Yang, F., and Zhu, T. (2019). “A method to evaluate the segregation of compacted asphalt pavement by processing the images of paved asphalt mixture.” Construction and Building Materials, 224, 622-629.
Elliot, R., Ford, M., Ghanim, M., and Tu, Y. (1991). “Effect of Aggregate Gradation Variation on Asphalt Concrete Mix Properties.” Journal of the Transportation Research Board, 1317(1), 52-60.
Guo, N. S., You, Z. P., Tan, Y. Q., Zhao, Y. H., and Jing, H. L. (2017). “Evaluation method for homogeneity of asphalt mixtures based on CT technique.” China Journal of Highway and Transport, 30(1), 1-9 and 55.
Hu, J., Qian, Z., Wang, D., and Oeser, M. (2015). “Influence of aggregate particles on mastic and air-voids in asphalt concrete.” Construction and Building Materials, 93, 1-9.
Itasca Consulting Group. (2004). Particle Flow Code in Three-Dimensions (PFC3D) Manual Version 3.1. Minneapolis, MN: Itasca Consulting Group.
Ji, X., Jiang, Y., Zou, H., Cao, F., and Hou, Y. (2020). “Application of numerical simulation method to improve shear strength and rutting resistance of asphalt mixture.” International Journal of Pavement Engineering, 21(1), 112-121.
Kim, H. and Buttlar, W. G. (2009). “Discrete Fracture Modeling of Asphalt Concrete.” International Journal of Solids and Structures, 46(13), 2593-2604.
Kim, Y. R., Allen, D. H., and Little, D. N. (2007). “Computational Constitutive Model for Predicting Nonlinear Viscoelastic Damage and Fracture Failure of Asphalt Concrete Mixtures.” International Journal of Geomechanics, 7(7), 102-110.
Kose, S. (2002). Development of a Virtual Test Procedure for Asphalt Concrete. Dissertation (PhD). University of Wisconsin-Madison.
Masad, E., Saadeh, S., Al-Rousan, T., Garboczi, E., and Little, D. (2005). “Computations of Particle Surface Characteristics Using Optical and X-Ray CT Images.” Computational Materials Science, 34(4): 406-424.
Masad, E., Somadevan, N., Bahia, H. U., and Kose, S. (2001). “Modeling and Experimental Measurements of Strain Distribution in Asphalt Mixes.” Journal of Transportation Engineering, 127(6): 477–485.
McCuen, R. and Azari, H. (2001a). “Assessment of Asphalt Specimen Homogeneity.” Journal of Transportation Engineering, 127(5): 363-369.
McCuen, R., Azari, H., and Shashidhar, N. (2001b). “Computer Simulation of Statistical Characterization of Aggregate Inhomogeneity in Asphalt Concrete.” Journal of the Transportation Research Board, 1757(1), 119-126.
Mcghee, K., Flintsch, G., Edgar DE León Izeppi (2003). Using High-Speed Texture Measurements to Improve the Uniformity of Asphalt Mixture. Charlottesville:Virginia Transportation Research Council.
Williams, R., Duncan, G., and White, T. (1996). Sources, Measurement, and Effects of Segregated Hot-Mix Asphalt Pavement, Report FHWA-SA-96-016. Washington DC: Federal Highway Administration, McLean, VA.
Obaidat, M., Msaeid, H., Gharaybeh, F., and Khedaywi, T. (1998). “An Innovative Digital Image Analysis Approach to Quantify the Percentage of Voids in Mineral Aggregates of Bituminous Mixtures.” Canadian Journal of Civil Engineering, 25(6): 1041-1049.
Peng, Y. and Bao, J. X. (2018). “Micromechanical Analysis of Asphalt-Mixture Shear Strength Using the Three-Dimensional Discrete Element Method.” Journal of Materials in Civil Engineering, 30(11), 04018302.
Peng, Y., Gao, H., Lu, X. Y., and Sun, L. J. (2020). “Micromechanical Discrete Element Modeling of Asphalt Mixture Shear Fatigue Performance.” Journal of Materials in Civil Engineering, 32(7), 04020183.
Peng, Y., Harvey, J., and Sun, L. J. (2017). “Micromechanical Modeling of Aggregate Homogeneity Influence on the Indirect Tensile Strength of Asphalt Mixtures using the Three-Dimensional Discrete Element Method.” Journal of Materials in Civil Engineering, 29(11), 04017211.
Peng, Y. and Sun, L. J. (2016). “Micromechanics-based analysis of the effect of aggregate homogeneity on the uniaxial penetration test of asphalt mixtures.” Journal of Materials in Civil Engineering, 28(11), 04016119.
Peng, Y. and Sun, L. J. (2017). “Aggregate Distribution Influence on the Indirect Tensile Test of Asphalt Mixtures Using the Discrete Element Method.” International Journal of Pavement Engineering, 18(8): 668-681.
Peng, Y. and Sun, L. (2009). “Towards an Index of Asphalt Mixture Homogeneity.” Road Materials and Pavement Design, 10(3): 545-567.
Peng, Y. and Sun, L. (2014). “Horizontal Homogeneity in Laboratory Compacted Asphalt Specimens.” Road Materials and Pavement Design, 15(4): 911-924.
Peng, Y., Sun, L. J., Wang, Y. Q., and Shi, Y. J. (2007). “Influence Factors of Shear Resistance of Asphalt Mixture.” Journal of Southeast University (Natural Science), 37(2), 330-333.
Peng, Y., Wan, L., and Sun, L. J. (2019). “Three-dimensional discrete element modelling of influence factors of indirect tensile strength of asphalt mixtures.” International Journal of Pavement Engineering, 20(6): 724-733.
Peng, Y., Xu, X. J., and Chen, W. J. (2011). “Relation of homogeneity and mechanical response parameters of asphalt pavements.” Proceedings 2011 International Conference on Business Management and Electronic Information, Shanghai, 5, 37-41.
Rao, C. (2001). Development of 3-D Image Analysis Techniques to Determine Shape and Size Properties of Coarse Aggregate. Dissertation (PhD). University of Illinois at Urbana-Champaign.
Sun, L. J. (2016). Structural Behavior of Asphalt Pavements. Elsevier Butterworth- Heinemann, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, UK.
Tan, W. and Zhou, G. (2009). “Applying the Uniaxial Penetration Test Method to Study Thermal Stability of Asphalt mixtures.” Petroleum Asphalt, 23(2), 14-18.
Tashman, L., Masad, E., Peterson, B., and Saleh, H. (2001). “Internal Structure Analysis of Asphalt Mixes to Improve the Simulation of Superpave Gyratory Compaction to Field Conditions.” Journal of Association of Asphalt Paving Technologists, 70: 605-645.
Tashman, L., Wang, L., and Thyagarajan, S. (2007). “Microstructure Characterization for modeling HMA Behaviour using Image Technology.” Road Materials and Pavement Design, 8(2): 207-238.
Xu, Y., Sun, L. J., and Liu, L. P. (2013). “Research on Asphalt Mixture Permanent Deformation by Single Penetration Repeated Shear Test.” Journal of Tongji University (Natural Science), 41(8): 1203-1207.
Yan, K. Z., Ge, D. D., and You, L. Y. (2015). “Microscopic analysis of asphalt mixture uniaxial penetration shear test.” Journal of Hunan University, 42(5), 113-119.
Yang, Y. L. (2003). Sub-Microstructure Analysis System of Asphalt Concrete (MASAC). PhD dissertation. Tongji University.
You, Z., and Buttlar, W. G. (2006). “Micromechanical Modeling Approach to Predict Compressive Dynamic Moduli of Asphalt Mixtures Using the Distinct Element Method.” Journal of the Transportation Research Board, 1970(1), 73-83.
You, Z. and Dai, Q. (2007). “Dynamic complex modulus predictions of hot-mix asphalt using a micromechanical-based finite element model.” Canadian Journal of Civil Engineering, 34(12), 1519-1528.
Yuan, J., Jia, L., and Sun, L. J. (2008). “Accumulation Model of Shear Fatigue Deformation for Asphalt Mixture with Changing Temperature.” Journal of Building Materials, 11(4): 435-440.
Yue, Z., William, B., and Isabelle Morin. (1995). “Application of Digital Image Processing to Quantitative Study of Asphalt Concrete Microstructure.” Journal of the Transportation Research Board, 1492(1), 53-60.
Zhang, K., Sun, P., Li, L., Zhao, Y., Zhao, Y., and Zhang, Z. (2021). “A novel evaluation method of aggregate distribution homogeneity for asphalt pavement based on the characteristics of texture structure.” Construction and Building Materials, 306, 124927.
Zhao, X., Xue, L., and Xu, F. (2021). “Asphalt pavement paving segregation detection method using more efficiency and quality texture features extract algorithm.” Construction and Building Materials, 277, 122302.

Information & Authors

Information

Published In

Go to International Conference on Road and Airfield Pavement Technology 2023
International Conference on Road and Airfield Pavement Technology 2023
Pages: 769 - 783

History

Published online: Feb 6, 2024

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Xue-Yuan Lu [email protected]
Senior Engineer, Anhui Transportation Holding Group Co., Ltd., Hefei, PR China. Email: [email protected]
Associate Professor, Institute of Transportation Engineering, Zhejiang Univ., Hangzhou, PR China (corresponding author). Email: [email protected]
Senior Engineer, Anhui Transportation Holding Group Co., Ltd., Hefei, PR China. Email: [email protected]
Chong-Yang Wang [email protected]
Senior Engineer, Anhui Transportation Holding Group Co., Ltd., Hefei, PR China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$158.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$158.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share