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Research Article

Review of BS 8110, EC2, and the Improved EC2 shear resistance models for stirrup in reinforced concrete beams

Aderinwale Ayodeji, Arum Chinwuba

Department of Civil Engineering, Federal University of Technology, Akure, Nigeria

Keywords

Abstract



Shear resistance;


Shear failure;


Experimental shear strength;


Reinforced concrete beams

The majority of beams used in construction have shear reinforcement provision. However, there exists a disparity in the results of the shear capacity guaranteed by the available shear design provisions. This is so because of the complex nature of the reinforced concrete shear mechanism. This study compares the BS 8110, EC2, and the Improved EC2 shear resistance models to ascertain the differences in their predictive ability when compared to experimental results. The EC2 is the most conservative at low level of shear reinforcement, i.e., shear reinforcement ρwfywm≤1.3 MPa, and at ρwfywm≤2 MPa for mean value and design value predictions respectively. From the parametric trendline chart, the Improved EC2 predicts a higher shear capacity for lightly reinforced concrete beams than the EC2 shear model. A demerit point of 76 and 187 obtained respectively for the mean and design shear capacities of the BS 8110 shows that it is the most reliable of the three models in predicting the shear strength of stirrup-reinforced concrete beams.

© 2023 MIM Research Group. All rights reserved.

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01/01/2024 Best Paper Award: The winners of 2023 Best Paper Award of Research on Engineering Structures and Materials (RESM) are announced. More information can be found at Author Awards section.


01/01/2024 Most Cited Paper Award: The winners of 2023 Most Cited Paper Award of Research on Engineering Structures and Materials (RESM) are announced. More information can be found at Author Awards section.


01/01/2024 Reviewer Awards: The winners of 2023 reviewer awards of Research on Engineering Structures and Materials (RESM) are announced. More information can be found at Reviewer Awards section.


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2023 Reviewer Awards:

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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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