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    Interpretable machine learning models for evaluating strength of ternary geopolymers

    Interpretable machine learning models for evaluating strength of ternary geopolymers по Junfei Zhang, Huisheng Cheng, Ninghui Sun, Zehui Huo, Junlin Chen

    Опубликовано 2025-12-01

    Ternary geopolymers incorporating multiple solid wastes such as steel slag (SS), fly ash (FA), and granulated blast furnace slag (GBFS) are considered environmentally friendly and exhibit enhanced performance. However, the mechanisms governing strength development and the design of optimal mixtures...

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