Journal article 42 views
Optimised biopolymer-based capsules for enhancing the mechanical and self-healing properties of asphalt mixtures
Materials and Structures, Volume: 57, Issue: 10, Start page: 236
Swansea University Authors: Jose Norambuena-Contreras , Clare Wood
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DOI (Published version): 10.1617/s11527-024-02508-6
Abstract
The growing need to enhance our road infrastructure has driven the development of several innovative techniques in recent years. Among these advancements, encapsulated rejuvenator solutions for extrinsic self-healing asphalt have emerged as a significant topic of interest. This paper evaluates the e...
Published in: | Materials and Structures |
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ISSN: | 1359-5997 1871-6873 |
Published: |
Springer Nature
2024
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URI: | https://cronfa.swan.ac.uk/Record/cronfa68167 |
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2024-12-16T14:19:41.2801837 v2 68167 2024-11-05 Optimised biopolymer-based capsules for enhancing the mechanical and self-healing properties of asphalt mixtures 73c6854ebb10465fbf7faab297135641 0000-0001-8327-2236 Jose Norambuena-Contreras Jose Norambuena-Contreras true false 97bede20cc14db118af8abfbb687e895 0000-0003-0001-0121 Clare Wood Clare Wood true false 2024-11-05 ACEM The growing need to enhance our road infrastructure has driven the development of several innovative techniques in recent years. Among these advancements, encapsulated rejuvenator solutions for extrinsic self-healing asphalt have emerged as a significant topic of interest. This paper evaluates the effect of optimised capsules containing vegetal oil as a biorejuvenator on the physical, mechanical, and self-healing properties of dense asphalt mixtures. In this study, previously optimised polynuclear alginate-based capsules were synthesised using vibrating jet technology with 5% wt. calcium chloride and a biopolymer-to oil mass ratio 1:7. Optimised capsules were incorporated into the asphalt mixture at concentrations of 0.125% wt., 0.25% wt., and 0.5% wt. Their spatial distribution within the asphalt mixtures was evaluated using an alternative method to CT scans, which utilised machine learning-based image analysis of the core asphalt samples. The main findings of this research are as follows: (1) a uniform distribution of capsules was achieved throughout the asphalt mixture, although clustering was observed at higher concentrations. (2) The capsules successfully survived the asphalt manufacturing process, and mechanical tests highlighted the adhesive properties of the alginate encapsulation material. (3) Asphalt samples with 0.125% wt. capsules exhibited mechanical performance comparable to samples without capsules; however, this content did not significantly enhance their self-healing properties. In contrast, self-healing capabilities were significantly enhanced with a capsule content greater than or equal to 0.25% wt.; however, this enhancement slightly affected some physical–mechanical properties of the dense asphalt mixture. Journal Article Materials and Structures 57 10 236 Springer Nature 1359-5997 1871-6873 Vegetal oil, Alginate Capsules, Mechanical properties, Asphalt self-healing 1 12 2024 2024-12-01 10.1617/s11527-024-02508-6 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University SU Library paid the OA fee (TA Institutional Deal) This research was funded by the National Research and Development Agency (ANID) from Chile, through the Research Project FONDECYT Regular 2019 No.1190027. 2024-12-16T14:19:41.2801837 2024-11-05T10:35:07.6520353 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Jose Norambuena-Contreras 0000-0001-8327-2236 1 Jose L. Concha 2 Gonzalo Valdes-Vidal 3 Clare Wood 0000-0003-0001-0121 4 |
title |
Optimised biopolymer-based capsules for enhancing the mechanical and self-healing properties of asphalt mixtures |
spellingShingle |
Optimised biopolymer-based capsules for enhancing the mechanical and self-healing properties of asphalt mixtures Jose Norambuena-Contreras Clare Wood |
title_short |
Optimised biopolymer-based capsules for enhancing the mechanical and self-healing properties of asphalt mixtures |
title_full |
Optimised biopolymer-based capsules for enhancing the mechanical and self-healing properties of asphalt mixtures |
title_fullStr |
Optimised biopolymer-based capsules for enhancing the mechanical and self-healing properties of asphalt mixtures |
title_full_unstemmed |
Optimised biopolymer-based capsules for enhancing the mechanical and self-healing properties of asphalt mixtures |
title_sort |
Optimised biopolymer-based capsules for enhancing the mechanical and self-healing properties of asphalt mixtures |
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73c6854ebb10465fbf7faab297135641 97bede20cc14db118af8abfbb687e895 |
author_id_fullname_str_mv |
73c6854ebb10465fbf7faab297135641_***_Jose Norambuena-Contreras 97bede20cc14db118af8abfbb687e895_***_Clare Wood |
author |
Jose Norambuena-Contreras Clare Wood |
author2 |
Jose Norambuena-Contreras Jose L. Concha Gonzalo Valdes-Vidal Clare Wood |
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Materials and Structures |
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57 |
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236 |
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2024 |
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Swansea University |
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1359-5997 1871-6873 |
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10.1617/s11527-024-02508-6 |
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Springer Nature |
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Faculty of Science and Engineering |
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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 |
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description |
The growing need to enhance our road infrastructure has driven the development of several innovative techniques in recent years. Among these advancements, encapsulated rejuvenator solutions for extrinsic self-healing asphalt have emerged as a significant topic of interest. This paper evaluates the effect of optimised capsules containing vegetal oil as a biorejuvenator on the physical, mechanical, and self-healing properties of dense asphalt mixtures. In this study, previously optimised polynuclear alginate-based capsules were synthesised using vibrating jet technology with 5% wt. calcium chloride and a biopolymer-to oil mass ratio 1:7. Optimised capsules were incorporated into the asphalt mixture at concentrations of 0.125% wt., 0.25% wt., and 0.5% wt. Their spatial distribution within the asphalt mixtures was evaluated using an alternative method to CT scans, which utilised machine learning-based image analysis of the core asphalt samples. The main findings of this research are as follows: (1) a uniform distribution of capsules was achieved throughout the asphalt mixture, although clustering was observed at higher concentrations. (2) The capsules successfully survived the asphalt manufacturing process, and mechanical tests highlighted the adhesive properties of the alginate encapsulation material. (3) Asphalt samples with 0.125% wt. capsules exhibited mechanical performance comparable to samples without capsules; however, this content did not significantly enhance their self-healing properties. In contrast, self-healing capabilities were significantly enhanced with a capsule content greater than or equal to 0.25% wt.; however, this enhancement slightly affected some physical–mechanical properties of the dense asphalt mixture. |
published_date |
2024-12-01T20:35:47Z |
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11.04748 |