Forecasting Compressive Strength of Lightweight Foamed Concrete Using Regression AI Technique and Parametric Investigation

Key Points

• Compressive strength predictions for lightweight foamed concrete were achieved successfully, enhancing material reliability.
• The regression AI technique demonstrated high accuracy, with an R-squared value exceeding 0.90 in model performance.
• Observational analysis used parametric investigation to examine multiple factors influencing compressive strength.
• The findings may enable improved construction practices and material selection in civil engineering applications.