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Open access Sep 2026

Monotonicity-constrained physics-informed neural networks for concrete compressive strength prediction

Accurate prediction of concrete compressive strength is critical for mix design optimization, quality control, and reliable decision-making in modern construction. While data-driven machine learning models have demonstrated strong predictive capability, most existing approaches treat concrete behavior as a purely stati...

Anik Mazumder, M. Bappy, B. Sarker · 0 citations

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