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    Sustainable Concrete Mix Designs: Multiobjective Optimization through Machine Learning Approaches

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    JCCEE5.CPENG-6748.pdf (4.564Mb)
    Date
    2026
    Author
    Hammoud, Ahmad
    Karaki, Ayman
    Dujovic, Milos
    Battalgazy, Bekassyl
    Arroyave, Raymundo
    Masad, Eyad
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    Abstract
    AbstractDeveloping concrete mix designs that enhance structural performance while reducing environmental impact is vital for achieving sustainable construction. This study utilizes multiobjective optimization and machine learning (ML) that aim to reduce ...Practical ApplicationsThis study provides a practical framework for engineers and project teams to design concrete that balances strength with a reduced carbon footprint. Using more than one thousand real mix records, machine learning models predict ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314425
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