Multi-Criteria Optimization Of Glauconite-Based Geopolymer Aggregates: Balancing Thermal Conductivity And Mechanical Strength
Abstract
This study presents a methodology for the multi-criteria optimization of lightweight geopolymer aggregates derived from the Changi glauconite deposit (Series G1).As the demand for energy-efficient construction materials rises, the development of aggregates that offer both low thermal conductivity and high mechanical strength becomes critical.Utilizing the Design of Experiments (DOE) methodology, this research investigates the influence of key independent variablesspecifically the concentration of functional additives (silicon carbide as a pore-forming agent and basalt as a stabilizer) and firing temperature ( )-on the physical and mechanical properties of the resulting material.The optimization process targets the minimization of bulk density ( ) and thermal conductivity ( ) while maintaining compressive strength ( ) above regulatory standards for structural-insulating applications.This paper details the experimental framework, the theoretical mechanisms of pore formation and stabilization, and the optimization model intended to identify the ideal composition for industrial application.)-on the physical and mechanical properties of the resulting material.The optimization process targets the minimization of bulk density ( ) and thermal conductivity ( ) while maintaining compressive strength ( ) above regulatory standards for structural-insulating applications.This paper details the experimental framework, the theoretical mechanisms of pore formation and stabilization, and the optimization model intended to identify the ideal composition for industrial application.