BOULEVARD IS NOW INTERNATIONAL.

CASE STUDY

COMPRESSIVE

STRENGTH PREDICTOR

 

Concrete is one of the most widely used materials in modern civil engineering efforts. Projects frequently require massive amounts of concrete of varying strengths, but evaluating the strength of concrete typically must wait until after the concrete has been made.

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Using machine learning, this application predicts the Compressive Strength in Megapascals (MPa) based on user-specified concrete mixtures. This provides manufacturing and concrete suppliers with an accurate and dynamic evaluation of material strength, informing resource decisions ahead of time.