In the field of concrete engineering, the increasing depletion of natural river sand resources has promoted the widespread application of mechanism sand.
Accurately predicting the compressive strength of limestone mechanism sand concrete (MSC) has become a key issue in engineering design and proportioning optimization.
A recent study published in the Journal of Building Engineering, which combines machine learning and microstructure analysis methods, not only constructed a high-precision MSC compressive strength prediction model, but also revealed the regulatory mechanism of key parameters such as stone powder content on its performance, providing important theoretical and practical support for the engineering application of mechanism sand concrete.
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