Technology that could revolutionise the construction sector and help solve the housing crisis by halving the time it takes to ...

I've worn Lululemon for years, but I'm be more likely to reach for its running leggings when I go for a jog or its comfy lifestyle and loungewear sweats than anything for my lifting sessions. This new ...

7-day strength: 3,428 psi 28-day strength: 4,449 psi (11% increase over design) 56-day strength: 4,974 psi (24.35% increase over the 4000 PSI design. The Argo graphene additive mix consists solely of ...

The prediction of concrete compressive strength (CS, MPa) is fundamental in experimental civil engineering, as it enables the optimization of mix design and complements laboratory testing through ...

insights from industryStephan Botzki & Ian McEnteggartSenior Applications Engineer - Composites Market ManagerInstron In this interview, industry experts Stephan Botzki and Ian McEnteggart, senior ...

When Meta broke ground last year on its data center in Rosemount, Minn., about 15 miles south of Minneapolis and St. Paul, the social media giant faced a concrete paradox: the material’s carbon burden ...

Researchers have developed a machine learning-based approach to accurately predict the compressive strength of concrete made with industrial waste, offering a faster and more efficient alternative to ...

The study investigates the cyclic bond behavior of FRP bars from four key parameters—bar diameter, embedment length, concrete strength, and rib geometry—leading to the development of a unified bond ...

Artificial intelligence is changing the way researchers predict concrete strength, with a new study in Cleaner Materials showcasing machine learning (ML) models developed using RapidMiner ® software.

Abstract: This research proposes a stacking machine learning method to accurately predict the compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting (XGBoost), Extra ...