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Research Article

Evaluation of CFRP confinement performance and predictive accuracy of design codes and stress-strain models for concrete

Abdellah Douadi1, Riad Babba2, Kamel Hebbache1, Mourad Boutlikht1, Nour El Houda Khitas1, Abderraouf Messai1, Redha Hammouche3

1Civil Eng. Research Laboratory of Setif (LRGCS), Dept. of Civil Eng., Ferhat Abbas University of Setif 1, Algeria
2Faculty of Science and Technology, University of Tamanghasset, Algeria
3Materials and Durability of Construction Laboratory, Dept. of Civil Eng., Faculty of Science and Technology, Frères Mentouri University of Constantine 1, Algeria


Keywords

Abstract


CFRP confinement; 

Stress-strain models; 

Design codes; 

Concrete reinforcement



This research investigates the effectiveness of different CFRP confinement types full, horizontal, and spiral and assesses the accuracy of various design codes and stress-strain models in predicting the performance of CFRP-confined concrete. Experimental results show that fully CFRP-confined specimens exhibit a significant increase in compressive strength by 89.36% compared to unconfined concrete, which had a compressive strength of 21.42 MPa, while horizontal CFRP strips with 30 mm spacing provide notable improvements in both strength (49.53% increase) and axial strain (610.78% increase). In contrast, spiral CFRP strips demonstrated lower effectiveness. Numerical evaluations revealed that the FIB model was accurate for horizontal confinements but overestimated compressive strength for spiral confinements. The ACI code offered reasonable predictions with deviations between -16% and 19%. Pellegrino et al and Wang et al. models performed well for horizontal CFRP strips but were less accurate for spiral configurations. The model proposed by Guo et al. overestimated the compressive strength for partially confined specimens. This study provides insights for optimizing CFRP confinement strategies and highlights the need for refinement in predictive models and design codes.

© 2024 MIM Research Group. All rights reserved.

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2023 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.



2023 Best Paper Award:

The paper authored by Ferzan Fidan, Naim Aslan, Mümin Mehmet Koç entitled as “Morpho-structural and compressive mechanical properties of graphene oxide reinforced hydroxyapatite scaffolds for bone tissue applications” is awarded.



2023 Most Cited Paper Award:

The paper authored by Ercan Işık, Ehsan Harirchian, Hüseyin Bilgin, Kirti Jadhav entitled as “The effect of material strength and discontinuity in RC structures according to different site-specific design spectra" is awarded.


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