Predictive modelling of nonlinear strength development in GGBS-hydrated lime concrete using ensemble and probabilistic learning frameworks

Key Points

• Nonlinear strength development was observed in GGBS-hydrated lime concrete.
• The models accurately predicted strength variation using ensemble and probabilistic learning frameworks.
• Analysis of concrete properties and hydration processes was done systematically over multiple conditions.
• Findings support improved material efficiency and structural integrity innovations in concrete construction.