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Lookup NU author(s): Dr Chao Zhang
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Copyright © 2025. Published by Elsevier B.V. The smart aggregate (SA) is a novel sensor for multi-source monitoring in pavements, yet the cross-scale contact mechanisms between the SA and asphalt mixture, and their role in rutting evaluation, are not fully understood. This study conducts rutting tests on double-layer asphalt mixtures with embedded SA sensors and introduces a reliability index (RI) to quantify rutting depth evolution from multi-source data. The discrete element method (DEM) is further employed to investigate both the rutting mechanism and microscale contacts between the SA and surrounding particles. Results show that the proposed RI provides an accurate assessment of rutting depth evolution. Moreover, SA sensor responses serve as a cross-scale bridge, linking microscopic contact behaviour with macroscopic rutting progression, thereby revealing that variations in microscale contact fundamentally govern the observed monitoring outcomes.
Author(s): Wang N, Zhang C, Li Q, Ma T, Wang J
Publication type: Article
Publication status: Published
Journal: Powder Technology
Year: 2026
Volume: 469
Issue: Part 1
Print publication date: 01/02/2026
Online publication date: 14/10/2025
Acceptance date: 13/10/2025
ISSN (print): 0032-5910
ISSN (electronic): 1873-328X
Publisher: Elsevier BV
URL: https://doi.org/10.1016/j.powtec.2025.121770
DOI: 10.1016/j.powtec.2025.121770
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