Choose Your Concrete Mix Lab Workflow
Prediction and optimization are separated into two focused engineering workflows. Evaluate a known mix composition for compressive strength, cost, and embodied carbon, or search for a feasible mix that satisfies your strength and water-ratio constraints.
Predict Strength & Evaluate Mix
Enter one known 1 m³ concrete composition and curing age. Get predicted laboratory cylinder compressive strength (MPa), ingredient cost estimate, and cradle-to-gate embodied emissions with clear comparison badges.
- Trained XGBoost model with validation RMSE (±4.62 MPa) & MAE (±3.03 MPa)
- Explicit text & color badges: Good, Normal, Poor, or Not enough comparable data
- Direct 1-click basket conversion to the Materials Market (100 Countries)
Optimize Mix Proportions for Target
Specify your target strength (MPa), curing age, maximum water/cement ratio (w/c), maximum water/binder ratio (w/b), and cost vs. carbon weights. Find a verified feasible candidate mix.
- Separately enforces
w/c = water/cementandw/b = water/(cement+slag+ash) - Never labels an infeasible solve as an optimum; reports exact constraint diagnostics
- Includes “Use this mix in prediction” to transfer candidates to Predict
Allowed Model Training Envelope (1,030 UCI Concrete Mixtures)
Both Predict and Optimize enforce the empirical bounds of the 1,030-row UCI Concrete Compressive Strength dataset so the model never extrapolates silently outside its training domain.