Suraj Kumar Parhi

Uncertainty quantification and sensitivity analysis of geopolymer mortar compressive strength using statistical and machine learning methods

Fly ash content is identified as the most influential parameter affecting compressive strength, followed by the fine aggregate content, Na2SiO3/NaOH ratio, GGBFS content, NaOH molarity, and curing duration, and designers and practitioners should prioritize these factors during the development of geopolymer mortars to m...