Materials have a significant role in creating structures that are durable, valuable and
possess symmetry engineering properties. Premium quality materials establish an …

The increasing complexity of polymer systems in both experimental and computational
studies has led to an expanding interest in machine learning (ML) methods to aid in data …

Predicting the punching shear strength (PSS) of fiber-reinforced polymer reinforced concrete
(FRP-RC) beams is a critical task in the design and assessment of reinforced concrete …

This research seeks to examine punching shear reinforcements using various materials and
techniques, then evaluate their effectiveness in order to increase the punching strength of …

Climate change has become trending news due to its serious impacts on Earth. Initiatives
are being taken to lessen the impact of climate change and mitigate it. Among the different …

Abstract Machine learning (ML) offers transformative potential in structural design through
the high efficiency in exploring optimal solutions within vast design spaces. However …

This study leverages advanced data mining and machine learning techniques to delve
deeper into the impact of sports activities on physical health and provide a scientific …

Textile-reinforced concrete (TRC) is a composite concrete material that utilizes textile
reinforcement in place of steel reinforcement. In this paper, the efficacy of the partial …

Fly ash–slag geopolymer concrete is an intangible material that does not use conventional
Portland cement, thereby reducing CO2 emissions into the environment, and hel** to …

In order to forecast the axial load-carrying capacity of concrete-filled steel tubular (CFST)
columns using principal component analysis (PCA), this work compares hybrid models of …