The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon solutions in the construction industry.

There is growing concern about the environmental impact generated by key industrial sectors, especially in areas such as ...

It is possible to create little to no rubbish from building construction in regional towns, but the chain of responsibility ...

Chitosan-enhanced clay bricks offer improved thermal insulation and structural strength, paving the way for sustainable ...

Stanford's innovative cement alternative, derived from volcanic ash, promises a sustainable future for construction by ...

Explore how urban mining is reshaping construction by recovering valuable materials from buildings and infrastructure. Learn ...

Optimizing concrete with recycled shea nutshell ash using the Box-Behnken design, this study enhances performance metrics ...

This study presents 3D-printed CCS concrete using diatomaceous earth, achieving 142 % more CO2 absorption than conventional concrete through innovative design.

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Polyglass U.S.A., Inc., a leading manufacturer of roofing and waterproofing systems, is introducing two new environmentally ...

Discover how circular construction is reshaping the built environment through reuse, adaptable design, and closed-loop ...

Discover how to enhance mercury monitoring in cement manufacturing to support environmental compliance and improve analytical ...