Composition (kg/m³)

Adjust sliders or click a point in the scatter plot to explore predicted strength curves with uncertainty.


Performance Tradeoffs

Y-axis objective
X-axis objective

Mix Insight

Pareto-optimal

Click a data point to see mix analysis.

Ingredient Insight

Cement — Portland cement (OPC) is the primary binder in concrete. Hydration of its clinker minerals (C₃S, C₂S, C₃A, C₄AF) produces calcium silicate hydrate (C-S-H) gel, which gives concrete its strength. High early strength contribution but the most carbon-intensive ingredient — producing 1 tonne of cement releases ~0.6–0.9 tonnes of CO₂ from calcination and kiln fuel.

⚠ Far from data

Predicted Strength Curve

Strength figures are model predictions with a 95 percent interval.
GWP: kg CO₂e/m³
Cost: $/m³
W/B:

Filters

References

BOxCrete: A Bayesian Optimization Open-Source AI Model for Concrete Strength Forecasting and Mix Optimization

Baten, Iqbal, Ament, Kusuma, Garg (2026)

arXiv
Cite
About BOxCrete

Extends the framework to comprehensive concrete mix analysis across different curing temperatures and material sources. The resulting model was used to design a low-carbon mix deployed at a Meta data center.

Sustainable Concrete via Bayesian Optimization

Ament, Witte, Garg, Kusuma (2023)

arXiv
Cite
About the 2023 study

Introduces the custom Gaussian process model and multi-objective Bayesian optimization for concrete mix design, demonstrating efficient discovery of low-carbon, high-strength mortar.