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Jinlei Mu

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Open access Aug 2026

Flowability prediction and artificial intelligence analysis of SCC based on machine learning

Six machine learning algorithms were employed to construct artificial intelligence models for the precise prediction of self-compacting concrete (SCC) flow properties, and the extreme gradient boosting (XGB) model was identified as exhibiting superior predictive accuracy and generalization performance.

Jinlei Mu, Xin Fang, Ke-qiang Cao et al. · Materials Research Express · 0 citations