Mehta, D., & Saboo, N. (2025). Performance of bio-bitumen produced using sugarcane molasses. 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. 426–429). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10598
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:
Bio-bitumen; Sugarcane molasses; Rheology
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Abstract:
Bio-bitumen has emerged as a sustainable alternative to petroleum bitumen. The renewable nature of bio-bitumen coupled with greener production has garnered significant attention in the pavement industry. This study presents the rheological and mixture performance of bio-bitumen produced using sugarcane molasses. Multiple stress creep recovery (MSCR) and linear amplitude sweep (LAS) tests were undertaken to evaluate the rheological performance, while mixture performance was assessed using wheel rut test and indirect tensile asphalt cracking test (IDEAL CT). The results of the investigation showed that the addition of SM lowered the accumulation of strain. The non-recoverable creep compliance (Jnr) was found to be lower in bio-bitumen as compared to conventional bitumen indicating enhanced rutting resistance. The number of cycles to failure (𝑁𝑓) of bio-bitumen increased, indicating improved fatigue life. Overall, the mixture’s performance against rutting and fatigue cracking was found to be satisfactory.
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Research Areas:
Modeling and Simulation: 35% Structure-Property Relationsship: 30% Computational System Design: 35%
CC BY 4.0
