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

Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

The cementitious composites have different properties in the changing environment. Thus,
knowing their mechanical properties is very important for safety reasons. The most important …

This study aims to provide an efficient and accurate machine learning (ML) approach for
predicting the creep behavior of concrete. Three ensemble machine learning (EML) models …

In recent years, fiber-reinforced polymers (FRP) in reinforced concrete (RC) members have
gained significant attention due to their exceptional properties, including lightweight …

To minimize the environmental risks and for sustainable development, the utilization of
recycled aggregate (RA) is gaining popularity all over the world. The use of recycled coarse …

Externally bonding fiber reinforced polymer (FRP) to concrete structures is an effective way
to enhance the mechanical performance of concrete structures. Many equations have been …

The casting and testing specimens for determining the mechanical properties of concrete is
a time-consuming activity. This study employed supervised machine learning techniques …

Supplementary cementitious materials (SCMs) are widely utilized in concrete mixtures,
either substituting a part of the cement content or replacing a portion of clinker in cement …

With the booming prosperity of artificial intelligence (AI) technology, it triggers a paradigm
shift in engineering fields including material science. The integration of AI and machine …