Recently, artificial intelligence (AI) has been widely adopted in the design and analysis of passively controlled structures. This study provides a comprehensive overview of AI-based methodologies aimed at enhancing the ...

Predicting shear capacity of Fiber Reinforced Polymer (FRP) concrete beams is challenging due to multiple influencing parameters. The research uses an experimental dataset of 48 and 73 results from carbon and glass Fiber ...

This study proposes a broad investigation into the application of advanced ML techniques for anticipating the compressive load-bearing capacity of FRP-confined concrete columns. The methods include the Extremely Randomized ...

This study presents a novel approach for estimating the behavior factor of moment-resisting reinforced concrete (RC) frames using a gene expression programming (GEP) method, which involves designing and analyzing over three ...

Traditional solar panel installation monitoring methods are often resource-intensive and error-prone, requiring a more effective approach. This study introduces an innovative solution to the challenge of efficiently ...

Using a collar is a suitable way to protect structures in the water and reduce the scour depth around the structures. In this research, experiments were first carried out to determine the performance of the collar in ...

The maintenance and rehabilitation of flexible pavements are crucial for achieving optimal performance and ensuring higher quality, enabling transportation planners to promptly formulate economically viable and sustainable ...