A new study published in Sustainability demonstrates that machine learning (ML) algorithms can reliably predict the compressive strength of concrete incorporating waste ground glass powder (GGP) as a ...

In an article recently published in the open-access journal Materials, researchers discussed the artificial neural network (ANN) prediction of the compressive strength of waste-based concretes. Study: ...

Extensive laboratory testing and data analyses reveal that the oil and gas industry can reliably estimate foamed-cement sample compressive strength, if the design engineer knows the compressive ...