AstraMixAI
Mix Lab HubWorkflow 1 · Strength Prediction (Schema v1.0.0)

Predict Concrete Strength, Cost & Embodied Emissions

Enter one known 1 m³ concrete composition and curing age to evaluate compressive strength, ingredient cost, and embodied carbon with clear comparison badges.

Predict StrengthOptimize Mix

Comparison & Target Context

Known Mix Proportions & Curing Age (per m³)

Model Training-Data Range (v1.0.0): Allowed limits represent the active XGBoost model's empirical training range (1,030 UCI mixes). They are not engineering safety limits or structural code compliance guarantees. Out-of-range inputs are rejected rather than silently clamped.
Range: 102–540 kg/m³
Model training range: 102.0 – 540.0 kg/m³ (step 1.0)
Range: 0–359.4 kg/m³
Model training range: 0.0 – 359.4 kg/m³ (step 1.0)
Range: 0–200.1 kg/m³
Model training range: 0.0 – 200.1 kg/m³ (step 1.0)
Range: 121.75–247 kg/m³
Model training range: 121.75 – 247.0 kg/m³ (step 0.5)
Range: 0–32.2 kg/m³
Model training range: 0.0 – 32.2 kg/m³ (step 0.1)
Range: 801–1145 kg/m³
Model training range: 801.0 – 1145.0 kg/m³ (step 1.0)
Range: 594–992.6 kg/m³
Model training range: 594.0 – 992.6 kg/m³ (step 1.0)
Range: 1–365 days
Presets:
Model training range: 1 – 365 whole days (presets: 1, 3, 7, 14, 28, 56, 90, 180, 365)
Water / cement ratio (w/c = water / cement)0.500
Water / binder ratio (w/b = water / total binder)0.500 (allowed 0.20–1.00)

Ready to Evaluate Your Mix

Click Predict Strength & Evaluate Mix on the left to generate the three primary result cards with full calculation provenance.

Use This Mix in Materials Market

Convert this 1 m³ recipe into an exact project ingredient basket (multiplying each constituent by your project volume in m³, with whole-bag rounding and surplus calculation) or compare ready-mixed concrete suppliers across 100 indexed markets.