Litcius/Paper detail

Response Surface Methodology Optimization in Asphalt Mixtures: A Review

Aliyu Usman, Muslich Hartadi Sutanto, Madzlan Napiah, Nura Shehu Aliyu Yaro

2021IntechOpen eBooks24 citationsDOIOpen Access PDF

Abstract

The application of statistical modeling and optimization approaches such as response surface methodology (RSM) is important for the excellent potential to tackle different constraints and goals and the analysis of the relationships between independent factors influencing a particular response. This chapter provides a simple yet detailed literature review on the utilization of RSM for the design of experiments, modeling, and optimization of virgin and alternative materials into asphalt binder and mixtures for sustainability. Meanwhile, an in-depth analysis based on the literature reviewed in terms of asphalt binder modification employing RSM with various independent parameters were summarized. Also, a critical review of the application of RSM to optimize the engineering and mechanical performance characteristics of asphalt concrete mixtures is presented in this chapter. The current chapter concluded that the use of RSM statistical analysis in a highway materials perspective provides a broader understanding of the factors that control pavement performance throughout the pavement service life.

Topics & Concepts

Response surface methodologyAsphaltStatistical analysisComputer scienceEngineeringProcess engineeringMaterials scienceMathematicsMachine learningStatisticsComposite materialAsphalt Pavement Performance EvaluationInfrastructure Maintenance and MonitoringInnovative concrete reinforcement materials