Journal article 20 views
Computation of the dynamic axial modulus and activation potential of virtual self-healing asphalt mixtures with encapsulated rejuvenators
International Journal of Pavement Engineering, Volume: 26, Issue: 1
Swansea University Author:
Jose Norambuena-Contreras
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1080/10298436.2025.2470862
Abstract
The addition of encapsulated rejuvenators to asphalt mixtures is an emerging technology to enhance self-healing. Its effectiveness depends on three main factors: (i) the capsules must not compromise the mechanical performance of the mixture, (ii) a minimum number of capsules must activate and releas...
| Published in: | International Journal of Pavement Engineering |
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| ISSN: | 1029-8436 1477-268X |
| Published: |
Informa UK Limited
2025
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69321 |
| Abstract: |
The addition of encapsulated rejuvenators to asphalt mixtures is an emerging technology to enhance self-healing. Its effectiveness depends on three main factors: (i) the capsules must not compromise the mechanical performance of the mixture, (ii) a minimum number of capsules must activate and release the healing agent, and (iii) the healing agent must promote self-healing. This paper uses randomly generated microstructures of a dense-graded asphalt mixture and Finite Element (FE) modelling to study the first two factors. The impact of adding capsules of two sizes (1.5 and 2.5 mm in diameter) at two doses (0.5% and 1.0% by total weight of the mix) on the dynamic axial modulus was first evaluated. Then, two computational methods were proposed to estimate the healing activation potential of the mixtures. Results show that the capsules do not compromise the linear viscoelastic properties of the mixture, and that over 58% of them could be activated under the applied load. Also, the mixture with 1.5 mm capsules at a dose of 1.0% had the best healing activation conditions to support self-healing. These findings show that the proposed methods are effective to support the initial design stages of these novel mixtures. |
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| College: |
Faculty of Science and Engineering |
| Issue: |
1 |