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Computation of the dynamic axial modulus and activation potential of virtual self-healing asphalt mixtures with encapsulated rejuvenators

Angelica Viana-Sepulveda, Silvia Caro, Daniel Castillo, Jose Norambuena-Contreras Orcid Logo

International Journal of Pavement Engineering, Volume: 26, Issue: 1

Swansea University Author: Jose Norambuena-Contreras Orcid Logo

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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...

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Published in: International Journal of Pavement Engineering
ISSN: 1029-8436 1477-268X
Published: Informa UK Limited 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa69321
first_indexed 2025-04-23T09:43:26Z
last_indexed 2025-06-06T07:02:48Z
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spelling 2025-06-05T15:19:49.8601163 v2 69321 2025-04-23 Computation of the dynamic axial modulus and activation potential of virtual self-healing asphalt mixtures with encapsulated rejuvenators 73c6854ebb10465fbf7faab297135641 0000-0001-8327-2236 Jose Norambuena-Contreras Jose Norambuena-Contreras true false 2025-04-23 ACEM 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. Journal Article International Journal of Pavement Engineering 26 1 Informa UK Limited 1029-8436 1477-268X Self-healing; asphalt mixtures; capsules; finite elements; computational mechanics; flexible pavements 21 4 2025 2025-04-21 10.1080/10298436.2025.2470862 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2025-06-05T15:19:49.8601163 2025-04-23T10:39:21.0549476 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Angelica Viana-Sepulveda 1 Silvia Caro 2 Daniel Castillo 3 Jose Norambuena-Contreras 0000-0001-8327-2236 4 69321__34310__dd26c9b01f2e48f18880bfcb5ca82c0b.pdf 69321.AAM.pdf 2025-05-19T17:06:47.3072609 Output 2256704 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/4.0/deed.en
title Computation of the dynamic axial modulus and activation potential of virtual self-healing asphalt mixtures with encapsulated rejuvenators
spellingShingle Computation of the dynamic axial modulus and activation potential of virtual self-healing asphalt mixtures with encapsulated rejuvenators
Jose Norambuena-Contreras
title_short Computation of the dynamic axial modulus and activation potential of virtual self-healing asphalt mixtures with encapsulated rejuvenators
title_full Computation of the dynamic axial modulus and activation potential of virtual self-healing asphalt mixtures with encapsulated rejuvenators
title_fullStr Computation of the dynamic axial modulus and activation potential of virtual self-healing asphalt mixtures with encapsulated rejuvenators
title_full_unstemmed Computation of the dynamic axial modulus and activation potential of virtual self-healing asphalt mixtures with encapsulated rejuvenators
title_sort Computation of the dynamic axial modulus and activation potential of virtual self-healing asphalt mixtures with encapsulated rejuvenators
author_id_str_mv 73c6854ebb10465fbf7faab297135641
author_id_fullname_str_mv 73c6854ebb10465fbf7faab297135641_***_Jose Norambuena-Contreras
author Jose Norambuena-Contreras
author2 Angelica Viana-Sepulveda
Silvia Caro
Daniel Castillo
Jose Norambuena-Contreras
format Journal article
container_title International Journal of Pavement Engineering
container_volume 26
container_issue 1
publishDate 2025
institution Swansea University
issn 1029-8436
1477-268X
doi_str_mv 10.1080/10298436.2025.2470862
publisher Informa UK Limited
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description 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.
published_date 2025-04-21T05:26:38Z
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score 11.089572

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