Influence of conductive fillers on the mechanical and thermal performance of stone mastic asphalt (SMA) mixtures

Abstract

This paper examines the thermal and mechanical properties of asphalt mixtures incorporating conductive fillers such as graphene, graphite, and magnetite. In terms of mechanical properties, conductive mixtures showed improved compaction with lower voids content at the same compaction temperature and effort. The stiffness values of all conductive mixtures were approximately 40%–60% higher than those of the control mix, potentially better load spreading ability. Thermal conductivity was assessed at three test temperatures (5°C, 25°C, and 40°C) under both virgin and aged conditions. The highest thermal conductivity was observed at 25°C, where a mixture containing 3% graphene, 10% graphite, 10% magnetite, and 10% limestone demonstrated an 84.08% increase in thermal conductivity compared to the control mixture with limestone filler. Furthermore, while thermal conductivity decreased with ageing across all mixes and test temperatures, conductive mixtures still exhibited 15%–20% higher thermal performance than the control mixture. These findings suggest that conductive fillers help to mitigate oxidative ageing, thereby enhancing long-term resistance to cracking. In terms of durability, all conductive mixtures demonstrated superior ageing and moisture resistance, retaining stiffness values 10%-20% higher than the control mixture after long-term ageing and moisture conditioning cycles 5%–20% more stiffness compared to control mixture. These results are promising and indicate that incorporating cost-effective conductive fillers can not only enhance thermal performance leading to improved self-healing characteristics but also improve mechanical properties.

Publication DOI: https://doi.org/10.1016/j.cscm.2025.e04865
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Aston Logistics and Systems Institute
Aston University (General)
Additional Information: Crown Copyright © 2025 Published by Elsevier Ltd. This is an open access article under the CC BY license ( https://creativecommons.org/licenses/by/4.0/ ).
Publication ISSN: 2214-5095
Last Modified: 06 Jun 2025 07:13
Date Deposited: 03 Jun 2025 13:17
Full Text Link:
Related URLs: https://www.sci ... 6631?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2025-06-03
Published Online Date: 2025-06-01
Accepted Date: 2025-05-31
Authors: Hossain, Moinul
Rahman, Mujib (ORCID Profile 0000-0002-5177-4159)
Chamberlain, Denis
Kasim, Tala (ORCID Profile 0000-0001-8840-7822)

Download

[img]

Version: Accepted Version

Access Restriction: Restricted to Repository staff only

License: Creative Commons Attribution Non-commercial No Derivatives


[img]

Version: Published Version

License: Creative Commons Attribution


Export / Share Citation


Statistics

Additional statistics for this record