Predicting Effect of Stirrups on Shear Strength of Reinforced NSC and HSC Slender Beams Using Artificial Intelligence

Authors

H. El Chabib, Bradley UniversityFollow
M. L. Nehdi, University of Western OntarioFollow
Aly Said, University of Nevada, Las VegasFollow

Document Type

Article

Publication Date

2006

Publication Title

Canadian Journal of Civil Engineering

Volume

33

Issue

8

First page number:

933

Last page number:

944

Abstract

The exact effect that each of the basic shear design parameters exerts on the shear capacity of reinforced concrete (RC) beams without shear reinforcement (V_c) is still unclear. Previous research on this subject often yielded contradictory results, especially for reinforced high-strength concrete (HSC) beams. Furthermore, by simply adding V_c and the contribution of stirrups V_s to calculate the ultimate shear capacity V_u, current shear design practice assumes that the addition of stirrups does not alter the effect of shear design parameters on V_c. This paper investigates the validity of such a practice. Data on 656 reinforced concrete beams were used to train an artificial neural network model to predict the shear capacity of reinforced concrete beams and evaluate the performance of several existing shear strength calculation procedures. A parametric study revealed that the effect of shear reinforcement on the shear strength of RC beams decreases at a higher reinforcement ratio. It was also observed that the concrete contribution to shear resistance, V_c, in RC beams with shear reinforcement is noticeably larger than that in beams without shear reinforcement, and therefore most current shear design procedures provide conservative predictions for the shear strength of RC beams with shear reinforcement.

Keywords

Analysis; Artificial intelligence; Beam depth; Compressive strength; Concrete; Concrete beams; Modeling; Reinforced concrete; Shear (Mechanics); Shear span; Shear strength

Disciplines

Civil and Environmental Engineering | Construction Engineering and Management | Structural Engineering

Language

English

Permissions

Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.

Repository Citation

El Chabib, H., Nehdi, M. L., Said, A. (2006). Predicting Effect of Stirrups on Shear Strength of Reinforced NSC and HSC Slender Beams Using Artificial Intelligence. Canadian Journal of Civil Engineering, 33(8), 933-944.
http://dx.doi.org/10.1139/l06-034