Using recycled aggregates generated from demolition waste for concrete production is a
promissory option to reduce the environmental footprint of the built environment. However …

The application of machine learning contributes to intelligent and efficient management of
construction and demolition waste, leading to a reduction in waste generation and an …

A multicollinearity-aware multi-objective optimisation (MA-MOO) framework was developed
to minimise the main environmental issues and the cost of production of green concrete …

Currently, one of the topical areas of application of machine learning methods in the
construction industry is the prediction of the mechanical properties of various building …

A considerable amount of discarded building materials are produced each year worldwide,
resulting in ecosystem degradation. Self-compacting concrete (SCC) has 60–70% coarse …

Currently, one of the topical areas of application of artificial intelligence methods in industrial
production is neural networks, which allow for predicting the performance properties of …

Nowadays, special concrete-like self-compacting concrete (SCC) requires sustainability by
introducing recycled aggregates as a partial replacement for natural aggregate …

The composition of self-compacting concrete (SCC) contains 60–70% coarse and fine
aggregates, which are replaced by construction waste, such as recycled aggregates (RA) …

Recycling construction and demolition waste (C&DW) is an effective way to promote
sustainability in the construction industry. The focus of worldwide research has been on …

This research studied the effect of accelerated carbonation in the physical, mechanical and
chemical properties of a non-structural vibro-compacted porous concrete made with natural …