Technical Papers
Jan 3, 2024

3D Mesomechanical Simulation–Based Approach to Determining Representative Volume Element of Asphalt Concrete

Publication: Journal of Transportation Engineering, Part B: Pavements
Volume 150, Issue 1

Abstract

This study proposes a three-dimensional (3D) mesomechanical simulation–based approach to determining the representative volume element (RVE) of asphalt concrete. In this approach, 3D mesostructures of asphalt concrete were developed by parametrically modeling the morphological characteristics of coarse aggregates and air voids. To define the RVEs, the effects were assessed of several geometrical characteristics, such as the volume fraction, gradation, and spatial distribution of coarse aggregates in the mesostructures. Further, the geometrically defined RVE was verified by performing finite-element simulations and inspecting whether the effective mechanical properties of asphalt concrete, such as the viscoelastic dynamic modulus, were accurately simulated. This approach was applied to a typical dense-graded asphalt concrete with a nominal maximum aggregate size of 13.2 mm. The results indicate that the proposed approach can effectively define the RVE of the asphalt concrete, of which the effective properties can be precisely simulated from the RVEs with a size of 50 mm. In addition, in terms of accurately characterizing the dynamic modulus only, an RVE size of 45 mm can satisfy the requirement. Findings of this paper are consistent with the results of existing RVE studies performed based on the laboratory tests. Therefore, the proposed approach provides a novel simulation-based paradigm for efficiently defining the 3D RVEs of asphalt concrete in mesoscale/multiscale simulations.

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Data Availability Statement

Some data generated or used in this study, including viscoelastic parameters, is available from the corresponding author upon reasonable request.

Acknowledgments

This study was sponsored by the National Natural Science Foundation of China (51808098, 51878122, and 51878121), the Natural Science Foundation of Liaoning Province (2022-MS-140), and Fundamental Research Funds for the Central Universities (DUT22JC22). The supports are gratefully acknowledged.

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Go to Journal of Transportation Engineering, Part B: Pavements
Journal of Transportation Engineering, Part B: Pavements
Volume 150Issue 1March 2024

History

Received: Feb 19, 2023
Accepted: Oct 29, 2023
Published online: Jan 3, 2024
Published in print: Mar 1, 2024
Discussion open until: Jun 3, 2024

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Research Assistant, School of Transportation and Logistics, Dalian Univ. of Technology, Dalian 116024, China. Email: [email protected]
Associate Professor, School of Transportation and Logistics, Dalian Univ. of Technology, Dalian 116024, China (corresponding author). ORCID: https://orcid.org/0000-0003-3936-754X. Email: [email protected]
Hongren Gong, Ph.D. [email protected]
Associate Professor, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai 201804, China. Email: [email protected]
Yuhua Li, Ph.D. [email protected]
Associate Professor, School of Transportation and Logistics, Dalian Univ. of Technology, Dalian 116024, China. Email: [email protected]
Jingyun Chen, Ph.D. [email protected]
Professor, School of Transportation and Logistics, Dalian Univ. of Technology, Dalian 116024, China. Email: [email protected]

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  • Data-Mining Framework Integrating 3D Random Aggregate Method and Finite-Element Method for Mesoscopic Simulation of Asphalt Concrete, Journal of Transportation Engineering, Part B: Pavements, 10.1061/JPEODX.PVENG-1505, 150, 3, (2024).

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