Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 7078 - 7078

Published: Aug. 18, 2024

Currently, the viscoelastic properties of conventional asphalt cement need to be improved meet increasing demands caused by larger traffic loads, increased stress, and changing environmental conditions. Thus, using modifiers is suggested. Furthermore, Sustainable Development Goals (SDGs) promote waste materials new technologies in pavement technology. The present study aims fill this gap investigating use pulverized oil palm industry clinker (POPIC) as an asphalt–cement modifier improve fatigue life bituminous concrete innovative prediction approach. proposes approach that integrates statistically based machine learning approaches investigates effects applied stress temperature on POPIC-modified concrete. (POPIC-MBC) produced from a standard Marshall mix. interactions between POPIC concentration, were optimized response surface methodology (RSM), resulting 7.5% POPIC, 11.7 °C, 0.2 MPa optimum parameters for life. To accuracy robustness results, RSM ANN models used analyzed MATLAB JMP Pro, respectively. performance developed model was assessed coefficient determination (R2), root mean square error (RMSE), relative (MRE). found RSM, MATLAB, Pro resulted comprehensive analysis. achieved R² value 0.9844, RMSE 3.094, MRE 312.427, 0.998, 1.245, 126.243, demonstrating higher superior than which had 0.979, 3.757, 357.846. Further validation with parity, Taylor, violin plots demonstrates both have good accuracy, outperforming terms alignment. This approach’s efficiency analyzing POPIC-MBC, revealing it useful tool future research practical applications. reveals adopted modifier, obtained biomass waste, meets zero-waste circular bioeconomy goals, contributing UN’s SDGs 9, 11, 12, 13.

Language: Английский