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 …

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

A crucial factor in the efficient design of concrete sustainable buildings is the compressive
strength (Cs) of eco-friendly concrete. In this work, a hybrid model of Gradient Boosting …

The application of the traditional support vector regression (SVR) model to predict the
compressive strength of concrete faces the challenge of parameter tuning. To this end, a …

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

This study presents a comparative analysis of individual and ensemble learning algorithms
(ELAs) to predict the compressive strength (CS) and flexural strength (FS) of plastic …

Fragility curves are one of the substantial means required for seismic risk assessment of
buildings in the framework of performance-based earthquake engineering (PBEE) …

The complexity of concrete's composition makes it difficult to predict its compressive
strength, which is a highly valuable and desired characteristic. Traditional methods for …

The growth of cities and industrialization has led to an increase in demand for concrete,
resulting in resource depletion and environmental issues. Sustainable alternatives such as …

Abstract Preplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse
aggregate is placed in the mold and a Portland cement-sand grout with admixtures is …