This paper proposes a novel nature-inspired meta-heuristic algorithm, named Snow Geese
Algorithm. It is inspired by the migratory behavior of snow geese and emulates the distinctive …

Compressive, tensile, and flexural properties of ultra-high-performance concrete (UHPFRC)
specimens were studied in this research. Binary and ternary combinations of micro steel …

In this study, an artificial intelligence tool called gene expression programming (GEP) has
been successfully applied to develop an empirical model that can predict the shear strength …

The bond strength between concrete and reinforcement is crucial for the composite action
and serviceability of reinforced concrete (RC) structures. However, it is vulnerable to …

Recently, great attention has been paid to geopolymer concrete due to its advantageous
mechanical and environmentally friendly properties. Much effort has been made in …

This study presents experimental and numerical investigations on the mechanical properties
of ultrahigh-performance concrete (UHPC) reinforced with single and hybrid micro-and …

Shear failure is an unfavorable phenomenon as it is a brittle type of failure; however, adding
rebars and fibers to a concrete beam can minimize its detrimental effects. The objective of …

This study investigated the flexural behavior of hollow concrete beams reinforced with GFRP
bars with longitudinal openings of different sizes and shapes. A total of seven beams were …

The precise prediction of the fundamental vibrational period for reinforced concrete (RC)
buildings with infilled walls is essential for structural design, especially earthquake-resistant …

This paper numerically studied the effect of uncertainty and random distribution of concrete
strength in beams failing in shear and flexure using lattice modeling, which is suitable for …