Cost Analysis of Fly Ash and Silica Fume Geopolymer Concrete

Cost analysis data for fly ash and silica fume-based geopolymer concrete, measured in dollars per cubic meter. The dataset was created by Jahanzeb Javed and was last updated in April 2026.

Use Cases

• Predict GPC cost per cubic meter based on mix design parameters using artificial neural networks.
• Analyze the relationship between compressive strength gain and cost data from experimental campaigns.
• Perform sensitivity analysis on key input parameters influencing cost and CO2 emission predictions.
• Compare cost-effectiveness of GPC mixes against conventional cement based on life cycle assessment results.

Strengths

• Data supports ANN models with high predictive accuracy (R² values between 0.96 and 0.99).
• Results show concrete performance gains, such as 20–25% early-age compressive strength increase.

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope and likely a small number of data points.
• Specific column names, row counts, and sample data are unavailable for verification.

Provenance

Source

Jahanzeb Javed via figshare.

Collection Method

Generated from an experimental campaign and predictive modeling study on geopolymer concrete.

Freshness

Last updated in April 2026.