Apaza, F. R., Gulisano, F., Cubilla, D., Boada, G., Jurado, R., & Gallego, J. (2025). Texture and skid resistance of asphalt mixtures with crumb rubber for safety roads. In L. Eberhardsteiner, B. Hofko, & R. Blab (Eds.), Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria (pp. 292–295). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10541
Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria
Advances in Materials and Pavement Performance Prediction 2025 (AM3P 2025)
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Event date:
7-May-2025 - 9-May-2025
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Event place:
Wien, Austria
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Number of Pages:
4
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Publisher:
TU Wien, E230-03 Road Engineering, Wien
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Peer reviewed:
Yes
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Keywords:
asphalt pavement; texture surface; safe road
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Abstract:
The skid resistance of asphalt pavements is influenced by their texture. While macrotexture has been more extensively studied due to easier measurement methods, microtexture also plays a significant role. Incorporation of crumb rubber (CR) from end-of-life tires into asphalt mixtures has shown potential for improving in skid resistance, though its effects remain underexplored. This study evaluated three types of mixtures (semi-dense AC, stone matrix asphalt SMA, and open-graded BBTM) with varying CR content (0.0%, 0.75%, and 1.5%). The mixtures were subjected to wear and polishing in successive stages, with macrotexture and microtexture analyzed using a laser profilometer and skid resistance measured via the British Pendulum Test (BPN). Predictive models revealed that microtexture revealed that microtexture have a more substantial impact on BPN values compared to macrotexture. Additionally, the presence of CR enhanced skid resistance in SMA and BBTM mixtures.
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Research Areas:
Modeling and Simulation: 35% Structure-Property Relationsship: 30% Computational System Design: 35%
CC BY 4.0
