Recycled concrete has become a research hotspot in the field of civil engineering due to its ability to achieve the resource utilization of construction waste and reduce carbon emissions.
However, its mix design is affected by multiple factors, and traditional testing methods have problems of high cost and low efficiency.
Today, I would like to share with you a latest study published in Construction and Building Materials.
This study combines machine learning and genetic algorithms to construct a multi-objective optimization model for recycled concrete mix design, providing efficient and scientific design ideas for the engineering application of recycled concrete.
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