An experimental study on RC beams shear-strengthened with Intraply Hybrid U-Jackets Composites monitored by digital image correlation (DIC)

Cakir, Ferit; Raci Aydin, M.; Acar, Volkan; Aksar, Bora; Cem Akkaya, Hasan

doi:10.1016/j.compstruct.2023.117503

Composite Structures

2023

DOI: 10.1016/j.compstruct.2023.117503

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An experimental study on RC beams shear-strengthened with Intraply Hybrid U-Jackets Composites monitored by digital image correlation (DIC)

Ferit Cakir,

M. Raci Aydin,

Volkan Acar

et al.

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Cited by 7 publications

References 25 publications

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Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming

Alacali,

Akkaya,

Sengun

et al. 2024

Neural Comput & Applic

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Fiber-reinforced polymers (FRP) have been widely used in shear strengthening applications of reinforced concrete (RC) beams. The accurate prediction of the FRP contribution to the shear strength of beams is essential for reliable design. Gene expression programming (GEP) has been widely utilized because it reliably expresses complex relationships between experimental variables. In this study, three new GEP models are proposed for three different strengthening configurations of FRP such as fully-wrapping, U wrapping, and side-bonding to predict the FRP contribution to shear strength. These models are developed using the most comprehensive database containing a total of 811 strengthened beams (350 fully-wrapped, 328 U-wrapped, and 133 side-bonded. Many variables have been considered in the proposed GEP models, including those that have been experimentally effective but are often neglected in existing literature equations, such as the shear span-to-effective depth ratio $$(a/d)$$ ( a / d ) and the stirrup ratio ($${\rho }_{w}$$ ρ w ). Additionally, the reliability of existing equations in the literature and the proposed GEP models for predicting the FRP contribution to shear strength was statistically evaluated. As a result of this evaluation, the proposed GEP models for each strengthening configuration of FRP yielded the most accurate statistical results, with the lowest coefficient of variation (COV), and the highest coefficient of correlation (R).

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Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming

Alacali,

Akkaya,

Sengun

et al. 2024

Neural Comput & Applic

View full text Add to dashboard Cite

show abstract

An intrinsic investigation of surface treated Kevlar intraply patch-repaired glass fiber polymer composites

Nallamuthu,

Vellayaraj,

Srinivasan

et al. 2024

Iran Polym J

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Performance of RC Beams Strengthened in Flexure and Shear with CFRP and GFRP

Sengun,

Arslan

2023

Iran J Sci Technol Trans Civ Eng

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An experimental study on RC beams shear-strengthened with Intraply Hybrid U-Jackets Composites monitored by digital image correlation (DIC)

Cited by 7 publications

References 25 publications

Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming

Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming

An intrinsic investigation of surface treated Kevlar intraply patch-repaired glass fiber polymer composites

Performance of RC Beams Strengthened in Flexure and Shear with CFRP and GFRP

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