Fly Ash and Silica Fume Geopolymer Concrete Mix Proportions

Mix design proportions for fly ash and silica fume-based geopolymer concrete (GPC) are provided. The dataset supports a study that used artificial neural networks to predict mechanical properties and CO₂ emissions. It was published by Jahanzeb Javed on figshare in April 2026.

Use Cases

• Predict compressive strength from mix proportions like fly ash and silica fume content using regression models.
• Estimate CO₂ emissions based on geopolymer concrete mix design parameters via life cycle assessment models.
• Train artificial neural networks to forecast flexural strength using input parameters identified by SHAP sensitivity analysis.
• Optimize GPC mix designs to target specific performance gains, such as a 20-25% increase in early-age compressive strength.

Strengths

• Dataset is derived from a study with predictive models achieving high accuracy (R² values between 0.96 and 0.99).
• Research demonstrates concrete performance improvements, including a 15-20% reduction in CO₂ emissions compared to ordinary Portland cement.

Limitations

• Dataset size is very small at 5.5 KB, indicating limited scope and likely a small number of mix design records.
• Specific row count, column names, and sample data are unavailable, limiting immediate analysis.

Provenance

Source

Jahanzeb Javed via figshare.

Collection Method

Data originates from an experimental campaign involving destructive and non-destructive testing of geopolymer concrete.

Freshness

Last updated in April 2026.