EventsThe 4th International Electronic Conference on Applied Sciences
Published
This submission belongs to the session F. Energy, Environmental and Earth Science of the event The 4th International Electronic Conference on Applied Sciences
Published date
31 Oct, 2023
Academic Editor
author-avatarSimeone Chianese
Citation
Nura Shehu Aliyu Yaro, Muslich Hartadi Sutanto, Lavania Baloo, Noor Zainab Habib, Aliyu Usman, Abubakar Baffa Muhammad, Ahmad Hussaini Jagaba, Evaluating the Effect of Asphalt Binder and Bio-Geopolymer Composite on the Permanent Deformation Resistance of Asphalt Concrete via Response Surface Method, in Proceedings of The 4th International Electronic Conference on Applied Sciences, 27 October–10 November 2023, MDPI: Basel, Switzerland, doi: 10.3390/ASEC2023-15560
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Evaluating the Effect of Asphalt Binder and Bio-Geopolymer Composite on the Permanent Deformation Resistance of Asphalt Concrete via Response Surface Method

Muslich Hartadi Sutanto 3
Lavania Baloo 3
Noor Zainab Habib 4
Aliyu Usman 3
Abubakar Baffa Muhammad 3
Ahmad Hussaini Jagaba 3
1. Universiti Teknologi PETRONAS, Malaysia
2. Ahmadu Bello University Zaria
3. Universiti Teknologi PETRONAS
4. Heriot-Watt Dubai University
Abstract

This study evaluated the influence of asphalt binder and biochar-based geopolymer composites on the permanent deformation resistance (PDR) of asphalt concrete. The influence of three design variations: asphalt binder, biochar, and geopolymer content was evaluated by employing the response surface method (RSM) based on the Box Behnken approach. The asphalt binder content ranged between 4 and 6%, whereas the biochar and geopolymer content ranged between 0 and 4%. The average rut depth of Bio-Geopolymer Asphalt concrete (BGAC) was employed as the response variable. The synergetic influence of the design variable was examined using the RSM approach, and a model was developed to determine optimum contents for improving PDR. The model has very high R2 values and adequate precision, showing that there is a significant relationship between the experimental and predicted values. The study ANOVA revealed that the asphalt binder and a biochar-based geopolymer composite modifier showed a significant effect in enhancing the PDR of BGAC. Furthermore, the optimization shows that the optimal content for biochar, geopolymer, and asphalt binder are 3.22%, 1.81%, and 5.4% respectively. The generated model's percentage error was found to be 5%, showing a significant correlation between actual and predicted data. The results of this study show that using RSM to predict and optimize the PDR of BGAC is a very efficient and effective technique.

Keywords
Biochar
Response surface method
Geopolymer
Permanent deformation
Modelling
Optimization
Asphalt concrete
Composite
Manuscript
Oral Presentation
Poster
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