Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …

The construction sector is one of the main contributors to carbon dioxide (CO 2) emission
and causes of global warming. CO 2 mitigation solutions are vital. New technologies can …

Performance metrics (Evaluation metrics or error metrics) are crucial components of
regression analysis and machine learning-based prediction models. A performance metric …

Abstract Replacing Ordinary Portland Cement (OPC) with industrial waste like Ground
Granulated Blast Furnace Slag (GGBFS) has been proven to have remarkable benefits …

Concrete is the most commonly used construction material. The physical properties of
concrete vary with the type of concrete, such as high and ultra-high-strength concrete, fibre …

Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …

Massive emissions and energy consumption during concrete production, together with the
demand for concrete, continuously threaten sustainable development and human health. To …

In view of the difficulty in establishing a mathematical model to characterize the interfacial
performance of FRP reinforced concrete at high temperature, the back-propagation neural …

In the recent decades, researchers have shown an increased interest in the reusing recycled
concrete aggregate generated by buildings' demolitions because of the undeniable …

Reuse and recycling of construction wastes effectively prevent further destruction of the
environment and nature due to the construction industry. One of the conventional methods is …