Abstract

This study proposed a three-dimensional (3D) multiscale modeling method to investigate the responses of asphalt pavement subjected to coupled temperature-stress fields. In this method, finite element models of asphalt pavement at two different scales, i.e., the macroscale (pavement level) and mesoscale (mixture level), were developed separately and connected through a two-way coupled approach, including a homogenization (upscaling) procedure and a mapping (downscaling) procedure. X-ray computed tomography (CT) scanning technology was adopted to acquire realistic mesostructure images of asphalt concrete, and a digital image processing technology was employed to reconstruct its 3D mesoscale representative volume element model from these CT images. Both thermal and mechanical properties of asphalt concrete at the two scales were considered in the multiscale simulation. Also, actual climatic data sets, including air temperature history, solar radiation history, and mean wind speeds, were incorporated into the computation. The results showed that the developed multiscale method furnishes an in-depth insight into the thermomechanical behaviors of asphalt pavement at different length scales under both tire loading and realistic environmental factors. The consideration of coupled temperature-stress fields varying with time has a significant impact on the accurate determination of the critical responses within asphalt pavement. Because the developed method is capable of simultaneously taking into account multiple factors, including mixture component properties and mesostructures, pavement structures, tire loads, and climatic information, it can be expected to serve as a mechanistic tool for facilitating and enhancing the analysis and design of asphalt pavement.

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Data Availability Statement

Some of the data generated or used in this study, including viscoelastic and thermal parameters, as well as temperature history data, are available from the corresponding author upon reasonable request.

Acknowledgments

This study was sponsored by the National Natural Science Foundation of China (51808098 and 51878122) and the Doctoral Start-up Foundation of Liaoning Province (2019-BS-048). Their support is gratefully acknowledged.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 148Issue 3March 2022

History

Received: Sep 6, 2021
Accepted: Nov 30, 2021
Published online: Jan 13, 2022
Published in print: Mar 1, 2022
Discussion open until: Jun 13, 2022

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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]
Zhuang Zhang [email protected]
Research Assistant, School of Transportation and Logistics, Dalian Univ. of Technology, Dalian 116024, China. Email: [email protected]
Hongren Gong, Ph.D. [email protected]
Assistant Professor, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai 201804, China. Email: [email protected]
Associate Professor, School of Transportation and Logistics, Dalian Univ. of Technology, Dalian 116024, China. ORCID: https://orcid.org/0000-0002-6685-8590. 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]
Baoshan Huang, Ph.D., M.ASCE [email protected]
Edwin G. Burdette Professor, Dept. of Civil and Environmental Engineering, Univ. of Tennessee, Knoxville, TN 37996. Email: [email protected]

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