Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1017709
Title: 3D dem simulation of the post-healed behavior of asphalt mixtures with encapsulated rejuvenators
Authors: Câmara, G.
Micaelo, R.
Azevedo, N.
Keywords: asphalt mixtures;Self-healing;Dem;Stifness properties;Capsules;Rejuvenator effect
Issue Date: Jul-2024
Publisher: Springer
Abstract: The integration of healing capsules into asphalt mixtures has demonstrated promising advancements in their intrinsic self-healing properties. However, the efficacy of this technology still requires further investigation. Rigid particle models, utilizing the discrete element method (DEM), have been adopted to simulate the creep, fracture, and viscoelastic behavior of asphalt mixtures, accounting for their irregular microstructure and particle contacts. This study utilizes the previously developed VirtualPM3DLab, a three-dimensional DEM framework, to numerically assess the impact of rejuvenator-modified mastic particles on the stiffness properties of post-healed asphalt mixtures where the asphalt mixture has undergone healing. Simulations consider different capsule proportions (0.30, 0.75, and 1.20 wt%) incorporated in the specimens. Numerical results reveal that the encapsulated rejuvenator reduces the stiffness modulus of asphalt mixtures, with this impact becoming more pronounced as the capsule amount increases due to the additional rejuvenator representation in the specimen. In addition, the phase angle remains unaffected across all numerical scenarios, suggesting that the viscoelastic behavior of asphalt mixtures is not significantly impacted and indicating the suitability of capsules for pavement applications. The findings also suggest that the percentage of these healing elements can slightly surpass the traditional amounts commonly used in laboratory settings.
URI: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1017709
Appears in Collections:DBB/NMMR - Comunicações a congressos e artigos de revista

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