In this study, a machine learning method using gradient boost regression tree (GBRT) model was presented to predict the ultimate bearing capacity of stirrup-confined rectangular CFST stub columns (SCFST) by comprehensive data set and adjusting selected parameters indicated in previous research (B, D, t, ρsa, fcu, fs). The advantage GBRT is its strong predictive ability, which can naturally hand...

Abstract In this study, the efficacy of strengthening reinforced concrete (RC) beams in shear by utilizing high-performance fiber-reinforced (HPFRC) was explored. The achieved epoxy bonding prefabricated HPFRC strips or plates onto beams. were strengthened two different schemes: (i) side (ii) vertical applied at critical sections. behavior configurations compared to non-shear and shear-reinforc...

Many factors affect the torsional behavior of reinforced concrete beams, such as strength, section dimensions, aspect ratio and cover. Improvements in RC members had led researchers to investigate effect additional steel fibers, reinforcement arrangement. Based on above, there is a gap previous studies taking distribution stirrups with longitudinal fibers. Twenty-six beams 250 mm wide, high 115...

This paper aims to investigate the effect of using different configurations near-surface mounted carbon-fiber-reinforced polymer (NSM-CFRP) strips on shear strength strengthened and rehabilitated reinforced concrete (RC) T-beams with internal stirrup spacing. The spacing was 50 150 mm. NSM-CFRP were at an inclination 45° spaced 75 A total eight beams tested in this study: two without as control...

Corrosion causes reduction in cross-sectional area of reinforcement, deterioration mechanical properties, and degradation bonding properties between reinforced concrete, which are the most important factors leading to structural service performance. In order investigate progressive collapse mechanism a corroded concrete frame structure, failure modes, characteristics vertical displacement, load...