ArticleMaterials (Basel, Switzerland)2026
Synergistic Effects of HPMC-HEMC Blending on the Rheological Properties of Composite Cement Paste Based on Explainable Machine Learning.
Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Fresh composite cement pastes modified with HPMC-HEMC blends were investigated using an explainable machine learning framework to clarify the coupled effects of cellulose ether dosage and blending ratio on rheological performance. A dataset containing 225 mixtures and 11 input variables was established, with fluidity, dynamic yield stress, and plastic viscosity used as target outputs. HPMC and HEMC dosages ranged up to 0.394% and 0.393%, respectively, while the total cellulose ether dosage varied from 0.041% to 0.398%. The results showed that total cellulose ether dosage strongly reduced fluidity but increased yield stress and viscosity, with Pearson correlation coefficients of -0.618, 0.653, and 0.848, respectively. Among the machine learning models, SVR achieved the best fluidity prediction where R
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